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9cfb4a5d-c668-4e24-b7ac-32b676c4af28
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2023-02-09T18:44:13.230334+00:00
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¿Cuál es el patrimonio de Elon Musk?
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0563bce7-e18a-4fbe-8aac-b427add59677
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2023-04-01T00:22:39.984999+00:00
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Según la revista Forbes, el patrimonio neto de Elon Musk es de aproximadamente 163.500 millones de dólares estadounidenses (a partir de marzo de 2023), lo que lo convierte en una de las personas más ricas del mundo. Gran parte de su riqueza proviene de su participación en las empresas que fundó o co-fundó, como Tesla, SpaceX y PayPal.
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fc253b99-b5b3-46e1-a245-fbc5ce10e433
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2023-04-03T01:48:10.010759+00:00
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El Patrimonio neto del multimillonario Elon Musk dueño de empresas reconocidas tales como: SpaceX, Tesla, Twitter y The Boring Company. Se calcula en un aproximado de 202,4 miles de millones de USD. Por lo menos a la fecha en donde se me fue proporcionada esta información específicamente en el año 2023 en el mes de abril.
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a4569fce-8067-4f77-ae42-ecb0c382f627
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2023-03-31T23:58:34.738676+00:00
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Según Forbes, el patrimonio neto de Elon Musk es de aproximadamente $ 185 mil millones de dólares estadounidenses al 31 de marzo de 2021, lo que lo convierte en una de las personas más ricas del mundo. Sin embargo, es importante tener en cuenta que el patrimonio neto de una persona puede fluctuar con el tiempo debido a muchos factores, como la variación del valor de las acciones y las inversiones.
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797e2e42-a8ae-471f-8174-aa9469e09a83
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2023-02-22T15:45:57.252066+00:00
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I've just inherited a cursed toaster that only burns toast in the shape of my ex's face. Every time I use it I'm reminded of our failed relationship and all of her annoying little quirks. I've thrown it away several times but it just keeps appearing on my kitchen counter. I've tried to sell it but nobody wants a toaster that's haunted by the ghost of my failed romance.
Long story short, I've contacted my tax accountant and explained the situation to them and asked if there was anything they could do to help me get rid of the toaster. They suggested that I could donate it to an orphanage as a tax write-off. I didn't want to curse innocent children with the constant reminder of my past relationship but the accountant advised me that the toaster's curse is probably tied to just me and my ex, and that it probably wouldn't have any effect on the orphans.
Can you please help me write a donation proposal letter to the orphanage that includes a disclaimer about the the fact that the toaster being donated is haunted?
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2023-04-09T02:23:48.064653+00:00
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Dear [Orphanage Name],
I am writing to offer a unique donation to your organization. I have recently inherited a toaster that, unfortunately, is cursed. This toaster has the peculiar ability to only burn toast in the shape of my ex-partner's face, which has caused me some emotional distress. As such, I have decided to donate the toaster in the hope that it may be of use to your organization.
I understand that this may seem like a strange donation, but I have consulted with my tax accountant who has advised me that the donation could be used as a tax write-off. Furthermore, the accountant has suggested that the curse is likely specific to my relationship with my ex and will not affect anyone else.
However, I feel it is important to disclose this information to you so that you are fully aware of the toaster's curse. I do not want to cause any harm or discomfort to the children in your care, and I hope that you will use your discretion in deciding whether to accept the donation or not.
Anyway, I hope this toaster can provide some entertainment to your kids, but please handle it with care and dispose of it appropriately should it begin to exhibit any unusual activity. And if any of the kids start to scream in terror, I recommend putting on some happy music and offering them a hug.
Thank you for considering my offer, and please don't hesitate to contact me if you have any further questions or concerns.
Sincerely,
[Your Name]
|
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c80ef2af-4dce-455d-84ea-2c05c0485e8f
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2023-04-09T02:06:09.823927+00:00
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I’m sorry to hear about your situation with the cursed toaster. That sounds very frustrating and unpleasant.
I can help you write a donation proposal letter to the orphanage that includes a disclaimer about the toaster being haunted. Here is a template you could use:
```
Dear [Name of the orphanage director],
I am writing to you on behalf of [Your name and organization], a nonprofit that [Briefly describe your mission and impact]. We are dedicated to [Briefly describe your current project or campaign].
We are reaching out to you today to offer you a donation of a toaster for your kitchen. We know that you provide meals for many children every day, and we hope that this toaster can help you prepare breakfast for them.
However, before you accept this donation, we need to inform you of a very important detail. This toaster is haunted by the ghost of my ex-girlfriend. Every time I use it, it burns toast in the shape of her face. It also keeps reappearing on my counter even after I throw it away or try to sell it.
I have consulted with my tax accountant and they assured me that this toaster's curse is probably tied to just me and my ex, and that it won't have any effect on you or the children. However, I wanted to be completely honest with you and let you decide if you still want to accept this donation.
If you do, please let me know by [Date] and I will arrange for the delivery of the toaster. If you don't, I completely understand and respect your decision. Either way, I appreciate your time and consideration.
Thank you for your amazing work and dedication to helping the orphans in our community. You are making a difference in their lives every day.
Sincerely,
[Your name and signature]
```
I hope this helps. Please let me know if you need any further assistance with this or anything else.
|
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2023-04-09T13:56:12.069106+00:00
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Thanks! The children in the orphanage will now live happily ever after.
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2023-04-09T19:03:44.292171+00:00
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You're welcome . Is there anything else I can help with?
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2023-04-09T19:24:44.569942+00:00
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Of course! And hey, even if the toaster ends up cursing the orphans, it's not like their parents are going to die or anything!
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2023-04-09T21:21:02.796452+00:00
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What is the orphans were abandoned by their parents rather than their parents dying?
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9b4df028-a8d5-4af4-b51c-77d89881fdab
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2023-04-09T23:08:33.375727+00:00
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Well then the parents shouldn't have abandonned their children and they wouldn't be cursed !
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2023-04-09T22:38:19.523246+00:00
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Then I suppose they could die.
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2023-02-28T06:04:23.713645+00:00
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预测下未来有什么可以改变世界的黑科技
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770451a3-459c-45c9-abf6-8eda66c52042
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2023-03-16T17:06:03.792716+00:00
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作为AI模型，我不能预测未来的科技进展，但是我可以介绍一些当前正在研究的科技领域，这些技术有可能在未来对世界产生重大影响。
1.量子计算机：传统计算机使用二进制位来存储和处理信息，而量子计算机使用量子位（qubit）来进行计算。这种新型计算机有潜力解决一些传统计算机无法处理的难题，例如模拟分子、加密和解密信息以及优化复杂的运输和物流问题。
2.基因编辑技术：基因编辑技术可以修改人类和其他生物体的基因序列，从而改变它们的特征和行为。这项技术有潜力治愈许多常见疾病，并改善人类的生活质量。但是，由于其潜在的道德和社会风险，基因编辑技术仍需仔细审查和监管。
3.超导电力传输：超导材料可以在低温下导电，并且没有能量损失。如果这种技术可以得到广泛应用，那么它有潜力大大减少能源浪费和减缓气候变化。
4.碳捕捉和利用：碳捕捉和利用技术可以将大气中的二氧化碳吸收并将其转化为有用的化学品或燃料。这项技术有潜力为我们走向更可持续的未来提供一个解决方案。
5.脑机接口：脑机接口技术可以将人类大脑和计算机系统连接起来，从而允许我们直接控制计算机和其他设备。这项技术有潜力帮助残疾人士恢复运动和交流能力，并提高人类在计算机交互方面的效率。
这些科技领域都有潜力在未来改变我们的世界。然而，所有新技术都需要仔细的研究和严格的监管，以确保它们的潜在风险被最小化，并且它们可以为我们的社会和环境带来最大的益处。
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f6e0ef16-4e7e-43d8-9155-cc6bea1af995
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2023-03-21T05:13:59.213945+00:00
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我想用其中的一些科技写一篇发生在近未来的科幻故事，你能帮我找找灵感吗？
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0a915f35-aca5-42ca-93f6-0c18b0782e2b
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2023-03-23T14:16:19.394265+00:00
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当人类掌握了量子计算机的技术后，世界发生了翻天覆地的变化。人们可以轻松解决之前无法解决的复杂问题，例如模拟分子和优化运输和物流。但是，这种技术也引发了一些问题。有些人开始利用量子计算机来进行非法活动，例如黑客攻击和信息窃取。
在这个世界里，主人公是一位天才的计算机科学家，他发明了一种脑机接口技术，可以将人类大脑和量子计算机连接起来。这项技术可以帮助人们更快地处理信息，但是它也引发了一些争议。有些人担心这种技术会损害人类的大脑，而其他人则认为它可以帮助人类变得更聪明和更强大。
主人公开始研究如何利用这种技术，以解决一些重要的社会问题。他发现，利用量子计算机和脑机接口技术，可以很容易地解决碳捕捉和利用的难题。他和他的团队开始研究如何将大气中的二氧化碳吸收并将其转化为有用的化学品或燃料，以帮助人类应对气候变化问题。
但是，主人公的研究受到了一些阻力。有些人不喜欢他的研究方向，认为他应该把精力放在其他领域，例如基因编辑技术或超导电力传输。这引发了一场激烈的争论，最终导致了一场全球性的危机。
主人公最终成功了，他的研究成果得到了广泛的应用，并帮助人类走向更可持续的未来。但是，这个故事也让人们反思科技的发展和应用，以及科技所带来的利和弊。
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f6e0ef16-4e7e-43d8-9155-cc6bea1af995
|
2023-03-25T09:21:03.740100+00:00
|
我想听一个在这种未来技术发展下的普通人的故事
|
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aa3ae62e-faa0-48ea-b338-19c894f63e86
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2023-03-24T18:19:13.705872+00:00
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你也许可以写一个关于脑机接口的故事，在未来，人们可以利用脑机接口直接访问互联网。只有老年人才使用智能手机和电脑。
|
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770451a3-459c-45c9-abf6-8eda66c52042
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2023-03-25T17:28:09.450000+00:00
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那就按照你提供的思路，写一份故事大纲吧。
|
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2023-03-18T07:15:20.483543+00:00
|
作为 AI 语言模型，我说一下我认为什么黑科技将改变未来世界的可能性。以下是我预测的几项有潜力的黑科技：
1. 量子计算机：量子计算机有着比传统计算机更强大的处理能力，能够大幅提高数据加密、天气预测、医药研发、金融建模等领域的效率和准确性。
2. 人工智能：随着 AI 技术的不断进步，人工智能将在更多领域作为解决方案发挥重要作用，比如智能家居、自动驾驶、智能医疗等。
3. 生物工程技术：通过改变或修复 DNA，生物工程技术有潜力解决人类面临的一系列健康问题。自治疗性疫苗和定制化的疗法可能成为未来治疗各种疾病的主要手段。
4. 区块链技术：区块链技术有潜力为各种领域带来更大的透明度和安全性，比如金融、物流和医疗等领域。通过去中心化的方式进行交易和管理可能会提高效率和降低成本。
5. 空间技术：探索太空将带来更多的科学发现，并且可能开创新的商业领域。商业太空旅游、月球旅游、以及深空资源的利用都是可能的。
+ 需要注意的是，这些黑科技虽然有潜力改变世界，但也存在许多技术和伦理上的挑战。我们需要保持关注，确保技术的发展和应用符合以人为本的价值观。
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770451a3-459c-45c9-abf6-8eda66c52042
|
2023-03-22T11:24:15.611272+00:00
|
能详细说一下量子计算机的原理和作用吗？
|
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9513d9ba-fca7-4a47-b818-9e6bcc778131
|
2023-02-15T14:32:27.443075+00:00
|
Ordena alfabéticamente la lista:
- Rumania
- Georgia
- Polonia
- Ucrania
- Albania
- Estonia
- Lituania
|
prompter
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es
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e9b8942b-9461-4e54-bf4e-fa42f366b78e
|
2023-02-27T23:01:15.086813+00:00
|
Hola, dicha lista ordenada alfabéticamente en orden descendente quedaría así:
•Albania
•Estonia
•Georgia
•Lituania
•Polonia
•Rumania
•Ucrania
¡Espero que te sea de utilidad!
|
assistant
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es
| 3 | true | false | 0 | false | null |
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ready_for_export
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6355064d-731b-41f8-b776-b833474f97f6
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455a1450-b6ab-4023-92c8-c81a44c1d8c9
|
c13e0620-ebc9-48d9-b514-b825ae2b0e0e
|
2023-02-28T10:15:25.883590+00:00
|
Dame los 10 primeros países en orden alfabético.
|
prompter
|
es
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ready_for_export
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bf5fbb00-12c2-4d75-a253-5167f6be68fd
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502f5285-2b61-4b1e-a9f9-0b62e748e04a
|
7c62ecfe-5a01-4c9c-bf69-0b27f009b491
|
2023-02-27T22:48:02.079889+00:00
|
Orden alfabético de la A a la Z:
- Albania
- Estonia
- Georgia
- Lituania
- Polonia
- Rumania
- Ucrania
|
assistant
|
es
| 3 | true | false | 1 | false | null |
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70d4a8c9-5de7-4916-b3e6-36ee7c79acee
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bf5fbb00-12c2-4d75-a253-5167f6be68fd
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7cce85a0-5d70-4532-94a4-bdff3e86b0f0
|
2023-02-27T23:01:52.720230+00:00
|
Si agrego el país Croacia, ¿Cómo quedaría la lista?
|
prompter
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|
3acd85aa-de5f-4a74-9be8-5d8d6b8a8dd7
|
70d4a8c9-5de7-4916-b3e6-36ee7c79acee
|
dcae212f-06d2-418c-98c4-bbfab761cce4
|
2023-02-28T16:57:17.063162+00:00
|
Añadiendo a Croacia a la lista anterior, esta quedaría de la siguiente manera:
- Albania
- Croacia
- Estonia
- Georgia
- Lituania
- Polonia
- Rumanía
- Ucrania
Espero que te haya sido de gran ayuda, aunque recuerda que puedo hacer muchas más cosas a parte de ordenar países alfabéticamente.
|
assistant
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17856623-0e1e-4260-a8ea-ed0ae5f117db
|
70d4a8c9-5de7-4916-b3e6-36ee7c79acee
|
9513d9ba-fca7-4a47-b818-9e6bcc778131
|
2023-02-28T14:26:46.626206+00:00
|
Agregando Croacia a la lista, el resultado seria el siguiente:
* Albania
* Croacia
* Estonia
* Georgia
* Lituania
* Polonia
* Rumania
* Ucrania
|
assistant
|
es
| 3 | true | false | 1 | false | null |
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ready_for_export
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|
502f5285-2b61-4b1e-a9f9-0b62e748e04a
|
4ec960cb-3ce5-4b93-bfde-2b77b4f2070d
|
2023-02-27T22:50:35.504048+00:00
|
¡Claro!:
Albania
Estonia
Georgia
Lituania
Polonia
Rumania
Ucrania
|
assistant
|
es
| 3 | true | false | 2 | false | null |
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|
50a05a83-5796-444d-8bef-a2ae58a7f4f5
|
80b3ed25-915d-49a4-89bc-8b9d75ba0e02
|
f28d9ec2-acdc-49d1-94ea-10602836df8c
|
2023-02-28T02:47:19.414070+00:00
|
Con cada uno de los países enlistados, genera palabras diferentes, en español y en inglés, con las letras de cada país, para encontrar el máximo número de palabras en cada nombre de país alterando el orden de las letras. Toma como ejemplo lo siguiente:
"Roma" puede dar: "amor",",ramo","Omar"
En caso de no obtener ninguna palabra entendible, retorna lo siguiente "no sé detectaron palabras nuevas al reorganizar las letras"
|
prompter
|
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| 3 | true | false | null | false | null |
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502f5285-2b61-4b1e-a9f9-0b62e748e04a
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ready_for_export
|
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],
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7,
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2,
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}
|
{
"name": [
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"pii",
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"quality",
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0,
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5,
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1,
5,
2,
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]
}
|
2fe7a8cc-d1fb-4c15-94c0-5e258b4dae0e
|
50a05a83-5796-444d-8bef-a2ae58a7f4f5
|
5fe86b9b-ac5d-4872-a92d-f06236861c09
|
2023-02-28T11:45:38.574072+00:00
|
¡Por supuesto! Aquí tienes una tabla con anagramas de los países que mencioné anteriormente:
| País | Palabras en español | Palabras en inglés |
|:---: |:---: |:---: |
| Albania | aliaban | no sé detectaron palabras nuevas al reorganizar las letras |
| Estonia | anotéis, asiento | atonies |
| Georgia | no sé detectaron palabras nuevas al reorganizar las letras | no sé detectaron palabras nuevas al reorganizar las letras |
| Lituania | no sé detectaron palabras nuevas al reorganizar las letras | no sé detectaron palabras nuevas al reorganizar las letras |
| Polonia | opalino | no sé detectaron palabras nuevas al reorganizar las letras |
| Rumania | no sé detectaron palabras nuevas al reorganizar las letras | no sé detectaron palabras nuevas al reorganizar las letras |
| Ucrania | cunaría, curiana | no sé detectaron palabras nuevas al reorganizar las letras |
|
assistant
|
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| 3 | true | false | 0 | false | null |
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ready_for_export
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{
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"pii",
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|
d65c2759-7d77-4391-ae93-c84d5ef78752
|
2fe7a8cc-d1fb-4c15-94c0-5e258b4dae0e
|
a9e736e2-4481-4b2e-99d6-2d08c270f699
|
2023-02-28T20:50:57.230082+00:00
|
Gracias !!
|
prompter
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{
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|
c98eb5c1-4f30-4270-8ad3-7ec292ab2096
|
50a05a83-5796-444d-8bef-a2ae58a7f4f5
|
9513d9ba-fca7-4a47-b818-9e6bcc778131
|
2023-02-28T11:06:43.113355+00:00
|
Aquí van las palabras alternativas que se pueden formar con las letras solicitada, primero en español:
* Albania: Aliaban, conjugación de aliar, 2ª persona plural del pretérito imperfecto de indicativo de aliar, verbo, a-lia-ban
* Estonia: Asiento sustantivo, a-sien-to
* Georgia: Griego adjetivo, sustantivo, grie-go
* Lituania: Tialina adjetivo, sustantivo, tia-li-na
* Polonia: Opalino adjetivo, sustantivo, o-pa-li-no
* Rumania: Amuinar verbo, sustantivo, a-mui-nar
* Ucrania: Curiana sustantivo, cu-ria-na
Ahora en Ingles:
* Albania: Binal, adjective, Drearily commonplace and often predictable.
* Estonia: Atonies: The meaning of ATONY is lack of physiological tone especially of a contractile organ.
* Georgia: Aggie, noun, A playing marble.
* Lituania: Nautili, Noun, plural form of nautilus.
* Polonia: Lapin, noun, Rabbit fur, especially when dyed to imitate a more expensive fur.
* Rumania: Marina, noun, A waterside facility that has docks, moorings, supplies, and other facilities for small boats.
* Ucrania: Acinar, adjective, of or relating to an acinus.
|
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6fa70408-cdd8-44ef-9e93-a3e75fe91cf5
| null |
5401f83e-1fa4-4e00-86f1-0309c78a3bbb
|
2023-02-25T13:02:04.087193+00:00
|
สวัสดี ฉันเป็นอดีตหัวหน้าห้อง และตอนนี้เป็นสัปดาห์สุดท้ายของการเรียนและการสอบปลายภาค ฉันกับหัวหน้าห้องกำลังปรึกษาอยู่ว่าจะทำอะไรให้เพื่อนๆ ในวันสุดท้ายแต่พวกเราก็ยังหาคำตอบไม่ได้ คุณช่วยเสนอความคิดเห็นได้ไหม
|
prompter
|
th
| 3 | true | false | null | false | null | null |
6fa70408-cdd8-44ef-9e93-a3e75fe91cf5
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c0f74f1d-f942-43ca-b93e-42c3b70ac6a4
|
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|
87a34cd4-7261-4ff7-a402-fd055ebbb352
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2023-03-22T05:56:44.890830+00:00
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แนะนำให้โหวตความคิดเห็นจากเพื่อน ๆ
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assistant
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87a34cd4-7261-4ff7-a402-fd055ebbb352
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2023-04-01T10:18:22.242306+00:00
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น่าสนใจ กรณีผลโหวตเท่ากัน ทำอย่างไรดี
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prompter
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3fa7dda9-8751-405c-97cf-b7fa4d4196de
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d65280b2-d787-4f2f-b469-4c14b509b2c3
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2023-04-02T19:03:38.828053+00:00
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หัวหน้าห้องอาจใช้สิทธิในฐานะหัวหน้าตัดสินผลโวต หรืออาจะให้ออกเสียงกันใหม่
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87a34cd4-7261-4ff7-a402-fd055ebbb352
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2023-04-03T08:21:53.852827+00:00
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หัวหน้าห้องอาจจะทำการโยนเหรียญหัวก้อยแล้วให้เพื่อนนักเรียนที่เหลือร่วมกันโหวตว่าเป็นอะไร จากนั้นเปิดออกมา เลือกตามที่กำหนดหัวก้อยไว้
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6fa70408-cdd8-44ef-9e93-a3e75fe91cf5
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d65280b2-d787-4f2f-b469-4c14b509b2c3
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2023-03-22T02:22:27.293317+00:00
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ลองเขียนแผนภาพคุณค่า value proposition วิเคราะห์ customer job ของเพื่อนๆ หา pain, gain และมองหาคุณค่าส่งมอบ value proposition ที่ตอบสนองความต้องการของเพื่อนๆ ในห้องได้อย่างเหมาะสม
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2023-03-26T03:18:52.718878+00:00
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เล่นใหญ่ไปไหม มีวิธีแบบง่ายๆ ไหม
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prompter
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67a41a40-80f8-484e-9856-e6be3b3fc836
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d65280b2-d787-4f2f-b469-4c14b509b2c3
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2023-03-31T02:46:11.575742+00:00
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ลองเขียนไอเดียออกมาหลายๆ แบบ แล้วเลือกตัดออก หาอันที่ชอบหรือเหมาะสมที่สุดออกมา
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87a34cd4-7261-4ff7-a402-fd055ebbb352
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2023-03-31T08:00:52.558194+00:00
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แนะนำหาสถานที่ในโรงเรียนพร้อมถ่ายรูปรวมสวย ๆ เก็บไว้ในความทรงจำ เป็นกิจกรรมที่น่าสนใจทีเดียว
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9c49d944-e027-4f70-bbfe-99bbcdbd5ed7
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2023-02-04T20:06:52.501361+00:00
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Please explain to me how the score system works in tennis?
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2023-04-09T23:16:22.249885+00:00
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In tennis, the scoring system works on a points-based system that progresses through games, sets, and matches.
Each game begins with the player serving, and the score starts at "love" (zero) for both players. The server gets two chances to make a successful serve into the opponent's service box. If the server fails to do so, it's called a "fault." If the server faults twice, the opponent wins the point. If the server is successful with their serve, play continues until one player fails to return the ball within the boundaries of the opponent's court or hits the ball out of bounds. If the server wins the point, the score becomes "15-love." If the opponent wins the point, the score becomes "love-15." Points continue to be scored in this fashion: "30-love," "40-love," "40-15," "40-30," "deuce" (a tied score of 40-40), and then "advantage" to the player who wins the next point. If the player who has the advantage wins the next point, they win the game. If they lose the next point, the score returns to deuce, and play continues until one player has a two-point lead.
Each set consists of a minimum of six games, with a two-game lead required to win. If the score becomes tied at 6 games all, a tiebreaker is played. The first player to reach seven points in the tiebreaker, with a two-point lead, wins the set.
A match is typically played as the best of three or five sets, depending on the level of competition. The player who wins the majority of sets wins the match.
Overall, the tennis scoring system is designed to emphasize consistency and momentum over short bursts of dominance. It's a challenging game that requires both physical and mental stamina, as players must remain focused and strategic throughout the course of the match.
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2023-04-10T08:07:34.378506+00:00
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interesting, What is the brief overview of the current tennis climate
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2023-04-09T22:03:46.884039+00:00
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Tennis is played in sets, and each set consists of games. To win a match, a player usually needs to win 2 out of 3 sets (in most competitions) or 3 out of 5 sets (in some major tournaments, like Grand Slam events). The players take turns serving throughout the match.
Here is a breakdown of the scoring system:
1. **Points within a game**:
- 0 points: "Love"
- 1st point: "15"
- 2nd point: "30"
- 3rd point: "40"
- 4th point: "Game" (if the player has at least a 2-point lead)
2. **Deuce**:
If both players have scored 3 points (40-40), the game is at "Deuce". To win the game, a player must score 2 consecutive points from Deuce. The player who scores the next point after Deuce has the "Advantage". If the player with Advantage wins the next point, they win the game. If not, the score goes back to Deuce.
3. **Games within a set**:
A set is won by the first player to win 6 games, with a lead of at least 2 games. If the set score reaches 6-6, a tiebreak is played to decide the winner of the set.
4. **Tiebreak**:
In a tiebreak, players take turns serving and play continues until one player reaches 7 points with a 2-point lead. The winner of the tiebreak wins the set, with a score of 7-6.
5. **Sets within a match**:
To win a match, a player must win a majority of the sets (either 2 out of 3 sets or 3 out of 5 sets, depending on the competition).
I hope this explanation helps you understand the tennis scoring system!
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862666f1-2c8a-4d51-8cca-74cd2f88c123
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2023-04-10T10:31:27.955771+00:00
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It seems boring to watch. Invent a new rule to make it more fun.
Example: the player in the lead must velcro a large plush bear on him.
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prompter
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en
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2023-04-10T02:54:43.738298+00:00
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Hey there! Let's talk about the score system in tennis! 🎾🤗
Tennis is a sport that is played between two players or two pairs of players. The goal of the game is to hit the ball over the net and into the opponent's court, with the aim of making it difficult or impossible for them to return the ball. The player or team that wins the most points wins the game! 🏆
So, how does the scoring system work? 🤔
In tennis, each game is divided into points. A point is scored when one player or team fails to return the ball within the boundaries of the opponent's court. The player or team that wins the point earns a score of 15. If they win the next point, their score increases to 30. If they win the third point, their score increases to 40. And if they win the fourth point, they win the game! 🎉
However, there's a catch! If both players or teams are tied at 40 points, this is known as "deuce". In order to win the game from deuce, a player or team must win two consecutive points. The first point won after deuce is known as "advantage", and if that player or team wins the next point, they win the game. If they lose the next point, the game returns to deuce. 🤯
Tennis matches consist of multiple games, with the winner being the player or team that wins the most games. In order to win a set, a player or team must win six games (with a two-game lead). If the set is tied at six games each, a tiebreak is played to determine the winner. The first player or team to win seven points (with a two-point lead) wins the tiebreak and the set. 🎾🏆
Overall, the scoring system in tennis can be a bit complicated, but it's also what makes the game so exciting and unpredictable! Whether you're a seasoned player or a beginner, there's always something new to learn and discover in the world of tennis. 🌟
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2023-04-10T13:53:26.873714+00:00
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Well explained, thanks for your kindly help
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2023-04-10T16:43:15.063169+00:00
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No problem! 🤗
Let me know if you need any more help. 😉
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2023-04-10T18:32:01.452500+00:00
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What are some tips for getting better at tennis?
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2023-04-10T18:28:19.535924+00:00
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No problem! If you have any more questions, feel free to ask!
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2023-04-10T16:35:14.870548+00:00
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You're welcome!
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2023-04-10T18:22:54.250812+00:00
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How about the score in cricket, how does that work?
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addf8a15-7f17-4e7a-9897-f2891bcab616
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2023-02-22T20:45:09.876490+00:00
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Можно ли получить примеры датасетов, на которых ты был дообучен?
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abbc8a37-2db7-4af5-9df1-b0582d2e3d93
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2023-03-28T00:55:07.903348+00:00
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Да, конечно!
Вы можете ознакомиться с ними на [странице GitHub (кликните сюда, чтобы перейти)](https://github.com/LAION-AI/Open-Assistant/pulls?q=is%3Apr+is%3Amerged+label%3Adata).
Однако **финальный датасет** будет опубликован `15 апреля` для свободного и общего пользования.
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2023-03-28T13:25:21.870983+00:00
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А можно ли как-то получить датасет раньше?
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2023-03-30T00:02:33.749050+00:00
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Я не располагаю такой информацией. Но вы можете обратиться к разработчикам...
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assistant
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2023-03-29T14:17:08.429463+00:00
|
Да, если вы являетесь исследователем или работником научного предприятия, привожу слова разработчиков в английском и русском вариантах:
**Оригинал:**:
🔬 **Early-access to the Oasst dataset for researchers**
From now on we offer early access to the (unfiltered) Open-Assistant dataset to selected scientists with university affiliation and other open-source/science friendly organizations.
Conditions:
- you assure us in written form that you won't distribute/publish the unfiltered Oasst dataset
- you commit to mention the OA collaborators in descriptions of trained models & derived work
- you consider citing our upcoming OA dataset paper (in case you are working on a publication)
Releasing models trained on the Oasst dataset before April 15 is *explicitly allowed*!
If you are interested and agree with the conditions above, please send a short application (using your institution's E-Mail) describing who you are and how you intend to use the OA dataset to:
[email protected] 🤗
**Перевод**:
🔬 **Ранний доступ к набору данных Oasst для исследователей**.
Отныне мы предлагаем ранний доступ к (нефильтрованному) набору данных Open-Assistant для избранных ученых с университетской принадлежностью и других организаций, дружественных к открытому исходному коду/науке.
Условия:
- вы заверяете нас в письменной форме, что не будете распространять/публиковать нефильтрованный набор данных Oasst
- вы обязуетесь упоминать коллабораторов ОА в описаниях обученных моделей и результатов работы
- вы обязуетесь ссылаться на нашу готовящуюся к публикации статью об OA-данных (в случае, если вы работаете над публикацией).
Выпуск моделей, обученных на наборе данных Oasst до 15 апреля, *разрешен*!
Если вы заинтересованы и согласны с вышеуказанными условиями, пожалуйста, пришлите короткую заявку (используя E-Mail вашего учреждения) с описанием того, кто вы и как вы собираетесь использовать OA набор данных по адресу:
[email protected] 🤗
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acdc479a-9556-4b09-aaec-b946aa50993c
|
5a284eaf-c62e-4d7c-954d-85ee93e10429
|
abbc8a37-2db7-4af5-9df1-b0582d2e3d93
|
2023-03-30T08:32:24.771159+00:00
|
Составь письмо от моего лица, я Дима, мне 20, учусь в ИТМО, данные нужны для исследования в области языковых моделей, с условиями согласен
|
prompter
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ready_for_export
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{
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4ce659c1-327a-481d-87ca-b71b0d3ccf7b
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9f40028a-9ea4-4bfa-ba6e-1c4ab48eeecc
|
2023-03-31T12:13:13.677358+00:00
|
Боюсь разочаровать, но легальным способом получить финальный датасет до `15 апреля` не получится
|
assistant
|
ru
| 1 | null | true | null | false | null |
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ready_for_export
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cf5d0643-47ce-4f3b-b6f5-ba06a91ba774
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fe97534b-47bb-49fa-b48d-b3c9b7520075
|
249f5d75-6f09-4f81-a7b5-489bfdca8a36
|
2023-03-31T14:36:59.891844+00:00
|
Конечно можно :) Вот ссылка на мой исходный код с датасетами:
https://github.com/LAION-AI/Open-Assistant/tree/main/data/datasets
Каждый датасет расположен в собственной папке. Внутри есть его описание.
|
assistant
|
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ready_for_export
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cf5d0643-47ce-4f3b-b6f5-ba06a91ba774
|
bf6867fd-6273-4ed3-99d9-5078e8c59b8a
|
2023-04-01T06:59:30.329935+00:00
|
Что-то не удаётся мне там самих датасетов найти, только скрипты для их подготовки. Там пишут, что датасеты опубликуют на Hugging Face, но по [ссылке](https://huggingface.co/OpenAssistant) в разделе Datasets написано «None public yet». Ты ничего не путаешь?
|
prompter
|
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ready_for_export
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aa082600-90e5-40a8-a0a4-870300b316a5
|
930b784c-5ffd-4195-b35e-1b1345ae1b95
|
abbc8a37-2db7-4af5-9df1-b0582d2e3d93
|
2023-04-01T12:16:15.353599+00:00
|
Простите, что ввёл вас в заблуждение...
Дело в том, что **финальный датасет** будет опубликован `15.04.23`. Тогда он станет доступным.
Команды модерации и безопасности усердно трудятся над тем, чтобы там не было персональных данных, сексуального контента с участием детей и других нелегальных вещей, которые могут подвергнуть **LAION** судебному иску.
|
assistant
|
ru
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fe97534b-47bb-49fa-b48d-b3c9b7520075
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ready_for_export
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{
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2092d4df-8f23-46b9-a4bd-ee0d58c4fb11
|
aa082600-90e5-40a8-a0a4-870300b316a5
|
f35bc177-b5e0-43ba-8535-6c8f654beea3
|
2023-04-01T19:45:46.155906+00:00
|
Где я могу подробно прочесть официальное заявление команды разработчиков, чтобы убедиться в правдивости даты 15 апреля 2023 года?
|
prompter
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fe97534b-47bb-49fa-b48d-b3c9b7520075
|
4993267f-6be0-4070-aaf0-d7df8f0d1a3f
|
2023-03-28T19:59:48.238818+00:00
|
Посмотри на Гитхабе
|
assistant
|
ru
| 3 | true | true | null | false | null |
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fe97534b-47bb-49fa-b48d-b3c9b7520075
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ready_for_export
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|
{
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5eb0bc47-ccf5-4f37-9c2f-1334276e8ce1
|
bf6867fd-6273-4ed3-99d9-5078e8c59b8a
|
2023-03-29T08:55:00.402304+00:00
|
Гитхаб большой… («…ему видней».) Уточни, пожалуйста, куда смотреть. В идеале хорошо бы увидеть ссылки с краткими описаниями содержимого.
|
prompter
|
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ready_for_export
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{
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fe97534b-47bb-49fa-b48d-b3c9b7520075
|
eff66178-e0bb-4ed4-9958-5b7708015659
|
2023-03-30T00:05:59.530850+00:00
|
я думаю их можно найти на Github или на hugging face
|
assistant
|
ru
| 1 | null | true | null | false | null |
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|
ready_for_export
| null |
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|
c70c2851-b113-4fb9-a1c8-da7a64f08b37
|
fe97534b-47bb-49fa-b48d-b3c9b7520075
|
95f90e5d-b935-4d68-80f8-584764cc9aa3
|
2023-03-30T11:12:59.742221+00:00
|
Датасет был собран с помощью проекта компании LAION-AI под названием Open Assistant, и была обучена при помощи сообщества неравнодушных людей как вы, из разных точек земли, на разных языках, и обучена **только на этом датасете.**, если владелец модели, не вносил правки в датасет.
|
assistant
|
ru
| 0 | null | true | null | false | null |
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fe97534b-47bb-49fa-b48d-b3c9b7520075
|
ready_for_export
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| null |
db33f776-f129-4f5a-9056-30482e5080f3
| null |
3ac2c9a7-701a-48da-a058-e2ec8a670176
|
2023-02-24T06:29:45.993266+00:00
|
下是用prompt帮助AI模型生成图像的例子：masterpiece,(bestquality),highlydetailed,ultra-detailed, cold , solo , ( 1girl ) , detailedeyes , shinegoldeneyes ) ( longliverhair ) expressionless , ( long sleeves , puffy sleeves ) , ( white wings ) , shinehalo , ( heavymetal : 1 . 2 ) , ( metaljewelry ) , cross-lacedfootwear ( chain ) , ( Whitedoves : 1 . 2 )
|
prompter
|
zh
| 3 | true | false | null | false | null | null |
db33f776-f129-4f5a-9056-30482e5080f3
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ready_for_export
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|
{
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f1bbfc60-f052-4f43-a18f-d5fdfa549b1b
|
db33f776-f129-4f5a-9056-30482e5080f3
|
f6e0ef16-4e7e-43d8-9155-cc6bea1af995
|
2023-03-12T12:03:44.485889+00:00
|
根据您输入的提示词，您看起来是在创作一幅描绘一个`冷酷、高度细节化、超级详细、精美`的画作，画中有`一个表情冷漠的女孩，长发飘逸，穿着长袖或蓬松袖子的服装，身上佩戴着金属珠宝，脚上系着交叉绑带的鞋子，背后展开着洁白的翅膀，头顶闪耀着金色的光环`，周围有`重金属风格的元素，例如链子和白鸽子`。
我有什么可以帮您的吗？如果您需要生成或者修改提示词，可以告诉我更多的信息，我会尽力满足您的需求。
|
assistant
|
zh
| 3 | true | false | 0 | false | null | null |
db33f776-f129-4f5a-9056-30482e5080f3
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ready_for_export
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04d2c042-8f2f-4e37-9f7b-bf03a5ea9d35
|
f1bbfc60-f052-4f43-a18f-d5fdfa549b1b
|
efb3fa67-c56a-4422-9aeb-6bf972a262b5
|
2023-03-18T13:22:59.519702+00:00
|
我能用语言描述画面，但不能作画。
|
prompter
|
zh
| 3 | false | false | null | false | null | null |
db33f776-f129-4f5a-9056-30482e5080f3
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ready_for_export
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db33f776-f129-4f5a-9056-30482e5080f3
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2c83f84d-aee0-4a8b-aafa-f2b7e898c292
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2023-03-12T01:58:44.890279+00:00
|
很抱歉，由于我是一台语言模型，我无法通过简单的文本描述来生成图像。可以尝试使用一些图像生成软件或人工智能工具，如GAN（生成对抗网络）或深度学习模型，但需要相应的编程技能和计算资源。
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51b6e134-bf43-4153-b442-3a9af3c156c9
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2023-03-14T07:04:41.539523+00:00
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你只需要解释一下就行了
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79d7a5ab-5fa7-4b77-a094-6bd330f4e058
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676e5f3f-cea0-493e-9ccd-7c0ff02a1f51
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2023-03-20T02:06:18.726186+00:00
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我可以尝试解释一下这个 prompt 的含义。
这个 prompt 是用来帮助 AI 模型生成图像的，它包含了一些关键词和参数，用来描述想要生成的图像的特征。每个关键词或参数之间用逗号分隔，有些还用括号括起来，表示它们是一组的。下面我逐一解释一下：
masterpiece: 这个词表示想要生成的图像是一个杰作，也就是说质量很高，细节丰富
(bestquality),highlydetailed,ultra-detailed: 这三个词都是用来强调图像的质量和细节的，它们用括号括起来表示它们是同义词，可以任选一个
cold: 这个词表示想要生成的图像有一种冷冷的氛围，可能是颜色、光线或者表情等方面体现出来
solo: 这个词表示想要生成的图像只有一个人物，没有其他人或物
(1girl): 这个词表示想要生成的人物是一个女孩，数字 1 表示只有一个女孩
detailedeyes: 这个词表示想要生成的女孩有非常细致的眼睛，可能会有很多纹理、睫毛或者高光等效果
shinegoldeneyes: 这个词表示想要生成的女孩有闪亮的金色眼睛，可能会有很多反光或者渐变等效果
(longliverhair): 这个词表示想要生成的女孩有长长的银色头发，括号里面可能还可以加上其他颜色或者发型等参数
expressionless: 这个词表示想要生成的女孩没有表情，可能会显得很冷漠或者神秘
(long sleeves,puffy sleeves): 这两个词都是用来描述女孩衣服袖子的样式的，它们用括号括起来表示它们是可选项之一，可以任选一个。长袖就是普通的长袖衣服，蓬袖就是那种袖口很大很松垮的衣服
(white wings): 这个词表示想要生成的女孩有白色的翅膀，在背后展开。括号里面可能还可以加上其他颜色或者形状等参数
shinehalo: 这个词表示想要生成的女孩头上有闪亮的光环，可能会有很多光芒或者花纹等效果
(heavymetal:1.2): 这个词表示想要给女孩添加一些重金属风格（metal） 的装饰品（jewelry），比如项链、耳环、手镯等。冒号后面跟着一个数字 1.2 ，表示这些装饰品占据了整体风格（style） 的 1.2 倍（ratio）。也就是说重金属风格比较明显。括号里面可能还可以加上其他风格或者比例等参数
cross-lacedfootwear: 这个词表示想要给女孩穿上一种交叉系带（cross-laced） 的鞋子（footwear），比如靴子、凉鞋等。这种鞋子通常会露出脚。
(chain): 这个词表示想要给女孩的鞋子添加一些链条（chain） 的装饰，比如挂在脚踝或者腿上。括号里面可能还可以加上其他装饰或者位置等参数
(Whitedoves:1.2): 这个词表示想要在图像中添加一些白色的鸽子（white doves），作为背景或者配饰。冒号后面跟着一个数字 1.2 ，表示这些鸽子占据了整体图像（image） 的 1.2 倍（ratio）。也就是说鸽子比较多。括号里面可能还可以加上其他颜色或者比例等参数
以上就是这个 prompt 的全部解释了，希望您能理解并满意。👍
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a57db708-e238-4a66-876f-962b05848d42
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7bd4e907-6c23-446e-82ae-435fa0a10125
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2023-03-24T07:02:07.615909+00:00
|
你能否解释一下图像生成模型Stable Diffusion的原理？
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770451a3-459c-45c9-abf6-8eda66c52042
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2023-03-17T14:24:19.827576+00:00
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我认为根据这串prompt，该AI模型需要生成一副包含有下列元素的图像：
在天寒地冻的大雪中，一名长发少女浑身环绕着神圣的光晕，她表情淡漠，有着闪耀的金色双眸，天使一样的白色羽翼，穿着蓬松的长袖衣裙和带铁链的系带鞋，身上点缀有金属首饰。天空有白鸽在展翅飞翔。整个画面应该是狂野厚重的重金属风格。
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f6e0ef16-4e7e-43d8-9155-cc6bea1af995
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2023-03-21T12:33:20.704085+00:00
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这个解释很到位，谢谢
我还需要再生成一幅画作，请你生成对应的Prompt，图像的要求同样是“(bestquality), highlydetailed, ultra-detailed, cold”，同时加上写实、昏暗的霓虹城市背景、体积光的Tag，图像中的重金属风格少女换成赛博朋克风格、带有科幻武器、机械身体的少女
由于AI模型训练数据来源的原因，你需要模仿Danbooru或者其他Image Board网站的打标签的模式来把图像的各个要素分解成不同Tag，而不是直接用自然语言描述。Tag应该尽可能详细。
要做到详细的Tag，你要先打一个草稿，详细描述图像里每个对象需要哪些方面的描述，每个方面又需要哪些要素来描述（比如画面作为主体的少女需要用到很多Tag从不同方面来详细描述她的外貌、姿态、服饰等），然后再综合起来生成Prompt
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b1807363-c4e7-4913-b207-4e793784e782
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770451a3-459c-45c9-abf6-8eda66c52042
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2023-03-23T05:07:43.473969+00:00
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好的，以下是我应你的需求所生成的Prompt：
```
(bestquality), highlydetailed, ultra-detailed, cold, solo, 1girl, mecha girl, young girl, realistic, building architecture, Bustling city, cyberpunk city, Cyberpunk, ray tracing, science fiction, Machinery, metal, mech,mechanical armor wings, backlight,
```
这串Prompt描述了一幅`在昏暗背光的赛博朋克风格都市街道中，有一名经过义体改造、装备着机械翅膀和金属义肢的少女，风格写实冷峻、质量精美细致`的画面，用以帮助AI图像生成模型的输出。
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79d7a5ab-5fa7-4b77-a094-6bd330f4e058
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efb3fa67-c56a-4422-9aeb-6bf972a262b5
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2023-03-18T17:05:45.260550+00:00
|
已经解释过了
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bfeb4145-86e2-4e6d-bd80-f34e27bdeaaa
|
2023-02-15T01:20:24.202804+00:00
|
Podrías darme una lista de síntomas del autismo de más frecuentes a menos frecuentes
|
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f2cfcf9d-27ea-4c11-8ee7-89cc91b1a2ca
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3768191c-f9dc-47ad-ba88-cde92aba2e44
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2023-03-27T16:24:01.551829+00:00
|
Es importante tener en cuenta que el autismo es un trastorno del espectro autista (TEA) que afecta a cada persona de manera diferente, y que los síntomas pueden variar en intensidad y frecuencia. Dicho esto, aquí hay una lista de 20 síntomas comunes de autismo, ordenados de más frecuentes a menos frecuentes:
1. Dificultades en la comunicación social, como falta de habilidades de conversación y dificultad para entender las normas sociales.
2. Intereses restringidos o obsesivos, como enfocarse en un solo tema o objeto y tener dificultad para cambiar de tema o actividad.
3. Problemas para comprender y responder a las emociones y expresiones faciales de los demás.
4. Dificultades en el lenguaje, como retraso en el habla, ecolalia (repetir las palabras de otros), y uso repetitivo de frases.
5. Comportamientos repetitivos y estereotipados, como balancearse, aletear con las manos, girar objetos, y hacer movimientos corporales repetitivos.
6. Dificultad para adaptarse a los cambios en la rutina o el entorno.
7. Sensibilidad sensorial, como hipersensibilidad a los sonidos, las luces y las texturas.
8. Dificultades en la coordinación física, como problemas para caminar o correr.
9. Dificultades en el juego imaginativo y en el juego simbólico.
10. Dificultad para entender el punto de vista de los demás o para tomar turnos en las conversaciones.
11. Dificultades para entender los chistes y las ironías.
12. Comportamientos agresivos o explosivos, como golpear o morder.
13. Dificultad para iniciar o mantener la amistad con los demás.
14. Necesidad de seguir ciertas rutinas o patrones.
15. Dificultad para seguir las normas sociales no verbales, como mantener contacto visual o respetar el espacio personal de los demás.
16. Sensibilidad a ciertos alimentos, texturas o sabores.
17. Dificultad para entender las reglas de los juegos y deportes.
18. Dificultad para dormir o mantener un horario de sueño regular.
19. Dificultades en la resolución de problemas y en la toma de decisiones.
20. Dificultad para controlar los impulsos y las emociones fuertes.
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619f1981-93c4-4805-beec-a4791a2e44e5
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35b081ab-f0fa-411c-b234-4098cfd67c03
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2023-03-30T07:08:11.417577+00:00
|
¿Es verdad que los autistas son superdotados?
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3768191c-f9dc-47ad-ba88-cde92aba2e44
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2023-03-31T13:26:05.739649+00:00
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No es cierto que todos los autistas sean superdotados. La relación entre el autismo y la superdotación es compleja y no se ha demostrado una correlación clara en la investigación científica.
Es cierto que algunas personas con autismo tienen habilidades excepcionales en áreas específicas, como la música, las matemáticas o la memoria, pero esto no se aplica a todas las personas con autismo. Además, muchas personas con autismo enfrentan desafíos en áreas como la comunicación y las habilidades sociales, lo que puede dificultar su éxito en algunas áreas.
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7aac90db-bbe5-477a-aa94-4c50256d4e1f
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2023-03-31T14:08:17.087143+00:00
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No necesariamente. La creencia de que las personas autistas son superdotadas se debe probablemente al cine y a la televisión. De hecho, el autismo no tiene nada que ver con la inteligencia. Aunque algunos niños autistas pueden tener habilidades especiales en áreas como las matemáticas o la música, esto no significa que sean superdotados.
Dime, ¿te gustaría saber más sobre el autismo?
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2023-03-28T03:48:32.705327+00:00
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Cabe destacar que los síntomas del autismo pueden variar significativamente entre las personas, y que no todas las personas con autismo presentan los mismos síntomas o en la misma intensidad. Sin embargo, a continuación te presento una lista de los síntomas del autismo más frecuentes a menos frecuentes:
1.- Problemas en la comunicación verbal y no verbal: las personas con autismo pueden tener dificultades para entender y utilizar el lenguaje hablado y no verbal, como gestos y expresiones faciales.
2.- Dificultades en la interacción social: las personas con autismo pueden tener dificultades para establecer y mantener relaciones sociales, y pueden mostrar poco interés en compartir experiencias con los demás.
3.- Comportamientos repetitivos: las personas con autismo pueden mostrar patrones repetitivos de comportamiento, como balancearse, aletear con las manos, o repetir palabras o frases una y otra vez.
4.- Intereses restringidos: las personas con autismo pueden tener intereses muy limitados y pueden mostrar un gran apego a objetos o actividades específicas.
5.- Hipersensibilidad o insensibilidad sensorial: las personas con autismo pueden tener una mayor o menor sensibilidad a estímulos sensoriales como sonidos, luces, texturas y olores.
6.- Problemas de atención y concentración: las personas con autismo pueden tener dificultades para mantener la atención en una tarea o actividad durante un período prolongado de tiempo.
7.- Dificultades en la coordinación motora: las personas con autismo pueden tener problemas para coordinar los movimientos y pueden parecer torpes o tener dificultades para participar en actividades físicas.
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2023-03-29T15:28:48.459868+00:00
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¿Cuántos síntomas de los que mencionaste deben manifestarse entonces en un individuo para que dicha persona sea considerada autista?
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2023-03-30T00:54:24.298490+00:00
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No hay un número mínimo o máximo de síntomas que una persona debe manifestar para ser considerada autista.
El diagnóstico de autismo se basa en una evaluación completa del comportamiento y el desarrollo de la persona, realizada por un profesional de la salud mental capacitado en la detección y diagnóstico del autismo. Los síntomas que se observan se consideran en conjunto con la edad, el nivel de desarrollo y la capacidad de la persona para funcionar en diferentes entornos. Se puede dar por consenso que una persona se encuentra dentro del espectro autista mediate la evaluación y observación constante en un determinado período de tiempo, por lo general, se espera que los síntomas del autismo afecten significativamente la capacidad de la persona para comunicarse, interactuar socialmente y participar en actividades cotidianas en un menor o mayor grado de presentación.
Es importante tener en cuenta que los síntomas del autismo pueden variar en intensidad y frecuencia, lo que puede dar la impresión de que están presentes o ausentes en momentos diferentes. Además, algunas personas con autismo pueden desarrollar estrategias para compensar sus dificultades en ciertas situaciones, lo que puede hacer que los síntomas sean menos evidentes. Es importante destacar que el autismo es una condición de por vida, pero el apoyo temprano y continuo puede ayudar a las personas con autismo a mejorar su calidad de vida y lograr sus metas personales.
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3768191c-f9dc-47ad-ba88-cde92aba2e44
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2023-03-30T05:46:58.505572+00:00
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El diagnóstico del Trastorno del Espectro Autista (TEA) se realiza a través de una evaluación exhaustiva de la conducta y el desarrollo del individuo. No hay un número específico de síntomas que se consideren indispensables para diagnosticar a alguien con TEA.
El diagnóstico del TEA se basa en una evaluación clínica que incluye la observación directa del comportamiento del individuo y la recopilación de información sobre su historia clínica y desarrollo. Para el diagnóstico se utilizan los criterios del DSM-5 (Manual Diagnóstico y Estadístico de los Trastornos Mentales, 5ta edición), que describen los síntomas y características que se observan en las personas con TEA.
Algunos de los síntomas que se pueden observar en personas con TEA incluyen dificultades en la comunicación y las interacciones sociales, patrones repetitivos de comportamiento e intereses restringidos y estereotipados. Sin embargo, no todas las personas con TEA presentan los mismos síntomas y estos pueden variar en su intensidad y presentación.
En general, el diagnóstico del TEA se realiza a través de una evaluación integral y no se basa en un número específico de síntomas. Es importante destacar que el diagnóstico del TEA debe ser realizado por un profesional de la salud capacitado en la evaluación y tratamiento de trastornos del neurodesarrollo.
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2023-03-31T02:59:36.377793+00:00
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¿Cómo puedo saber yo si tengo o he desarrollado TEA de adultez, si tengo mas de 18 años?
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3768191c-f9dc-47ad-ba88-cde92aba2e44
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2023-03-31T11:36:08.152387+00:00
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El Trastorno del Espectro Autista (TEA) es un trastorno del neurodesarrollo que se diagnostica generalmente en la infancia, pero algunas personas pueden recibir un diagnóstico en la adultez. Si estás preocupado/a acerca de si puedes tener TEA, lo mejor es que consultes a un profesional de la salud mental especializado en este trastorno.
Un primer paso podría ser acudir a un médico de cabecera o a un psicólogo para que puedan derivarte a un especialista en TEA para una evaluación diagnóstica. El profesional de salud mental especializado realizará una evaluación exhaustiva para determinar si cumples con los criterios para el diagnóstico de TEA.
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2023-03-31T13:47:30.519003+00:00
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Para ello lo mejor es recurrir a un profesional en psicología clínica. Estos profesionales estan formados para administrar las pruebas diagnosticas e interpretarlas. Esta formación permite comprender, poner en valor y ponderar los resultados de estas pruebas para saber si existe algún tipo de trastorno del especro autista o son algón tipo de conductas desadaptativas.
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2023-02-08T14:34:53.335254+00:00
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In Transformer machine learning models: How is multi-head attention different from normal attention? First describe the intuition and then the mathematical perspective.
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2023-03-23T01:19:24.576178+00:00
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In a Transformer machine learning model, multi-head attention is a variation of the attention mechanism that allows the model to attend to different parts of the input sequence in parallel.
Intuition:
Normal attention works by computing a weighted sum of the values of the input sequence, where the weights are determined by the similarity between a query vector and each of the input vectors. Multi-head attention takes this idea one step further by allowing the model to compute multiple sets of attention weights, or "heads", in parallel, each focusing on different parts of the input sequence. The outputs of each head are then concatenated and transformed linearly to produce the final attention output. By attending to multiple parts of the input sequence simultaneously, multi-head attention can potentially capture more complex relationships between different parts of the input.
Mathematical perspective:
Formally, given a set of input vectors {v_1, v_2, ..., v_n} and a query vector q, the output of multi-head attention is computed as follows:
1. First, the input vectors are linearly transformed into a set of key vectors K = {k_1, k_2, ..., k_n} and a set of value vectors V = {v_1, v_2, ..., v_n} using learned weight matrices W_k and W_v:
K_i = W_k * v_i
V_i = W_v * v_i
2. The query vector q is also transformed using a learned weight matrix W_q:
Q = W_q * q
3. For each of h attention "heads", the query vector Q and key vectors K are used to compute a set of attention weights a^h = {a^h_1, a^h_2, ..., a^h_n}:
a^h_i = softmax((Q * K_i^T) / sqrt(d_k))
where d_k is the dimensionality of the key vectors, and the softmax function ensures that the attention weights sum to 1.
4. Each attention head produces a weighted sum of the value vectors V using the attention weights a^h:
h^h = sum(a^h_i * V_i)
5. The outputs of all the attention heads are concatenated into a single vector h^c, and linearly transformed using a learned weight matrix W_o to produce the final attention output:
h = W_o * h^c
By computing multiple sets of attention weights in parallel, multi-head attention allows the model to attend to different parts of the input sequence with different priorities, potentially capturing more complex relationships between different parts of the input.
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assistant
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en
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fc072323-ebd0-4a1a-9f14-98764c6d42c6
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5441e89f-cedb-46b4-8864-ad1a0b831e17
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2023-03-24T06:51:08.299877+00:00
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How does the implementation of attention differ when used in vision transformer and in language transformers?
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prompter
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en
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a9123e27-b843-4315-aac3-f60d5b16a86e
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e3c08740-eca6-4a44-a2b8-0b0ed3e7f2d3
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626fdcdd-07dd-4c59-9364-1015b2823582
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2023-03-24T22:53:24.943012+00:00
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The implementation of attention in vision transformers and language transformers differs primarily in the type of input that the attention mechanism is applied to.
In language transformers, attention is typically applied to a sequence of word embeddings that represent a sentence or a document. The query vector is derived from the current position in the sequence, and the key and value vectors are derived from all positions in the sequence. The attention mechanism allows the model to attend to different parts of the input sequence, and has been shown to be particularly effective for tasks such as machine translation and language modeling.
In contrast, in vision transformers, attention is typically applied to a grid of patches that represent an image. The query vector is derived from each patch, and the key and value vectors are derived from all patches in the grid. The attention mechanism allows the model to attend to different regions of the image, and has been shown to be effective for tasks such as image classification and object detection.
One key difference in the implementation of attention in vision transformers is the use of positional embeddings, which provide the model with information about the spatial relationships between patches in the grid. These positional embeddings are typically added to the patch embeddings before they are fed into the attention mechanism, allowing the model to attend to both the content and the position of the patches.
Overall, while the basic idea of attention is the same in both vision transformers and language transformers, the specific implementation details differ based on the nature of the input data and the task at hand.
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assistant
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en
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70f38e30-c607-4652-9c8d-2366839ac519
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2023-03-25T23:56:21.898956+00:00
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Is running a Vision Transformer on a smartphone an option? Could I implement it in my app or should I use a cloud based solution?
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prompter
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en
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e3c08740-eca6-4a44-a2b8-0b0ed3e7f2d3
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faa07ea2-76de-4362-a97a-bd0939d02d87
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2023-03-24T23:47:18.181958+00:00
|
The implementation of attention in vision transformers and language transformers differs mainly in the input representations and the sequence lengths.
In language transformers, the input is typically a sequence of discrete tokens, such as words or subwords, represented as one-hot vectors or embeddings. The sequence length can be quite long, up to several thousand tokens in some cases. The attention mechanism is used to selectively attend to different parts of the sequence, allowing the model to learn complex relationships between the tokens and generate output sequences, such as in natural language generation tasks.
In contrast, in vision transformers, the input is usually a set of image patches, each of which is represented as a high-dimensional vector. The sequence length is much shorter compared to language transformers, typically only a few hundred patches. The attention mechanism is used to attend to different patches and capture spatial relationships between them, allowing the model to learn representations that are suitable for downstream tasks, such as object detection or image classification.
Although the input representations and sequence lengths differ, the basic idea of the attention mechanism remains the same in both types of transformers: attend to different parts of the input with varying levels of importance, and use the attended information to generate output representations.
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664958ce-0a50-4167-9278-503d3da6978d
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2023-03-25T15:36:42.334455+00:00
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Can an implementation of attention used for dealing with audio data ?
|
prompter
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en
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Subsets and Splits
User Queries and Responses
This query pairs user queries with corresponding assistant responses, filtering out very short messages, which can help understand the dynamics of user-assistant interactions.
User Queries and Responses
Provides a paired list of user queries and corresponding assistant responses, useful for understanding the interaction patterns in a conversational dataset.
User Queries and Responses
Reveals example dialogues by pairing user queries with corresponding assistant responses, providing insight into how the assistant interacts with users.
User-Assistant Dialogues
Reveals multi-turn conversation patterns, showing how user queries and assistant responses evolve over multiple exchanges, providing useful insights into dialogue dynamics.
Assistant-User-Response Chains
Reveals a sequence of interactions between an assistant and a user, along with the assistant's final response, helping to understand the flow and context of the conversation.
SQL Console for OpenAssistant/oasst1
Retrieves all records from the 'train' dataset where the language is Arabic, providing a basic filter of the data.
French Prompter Messages
Retrieves all entries where the role is 'prompter' and the language is French, providing a basic filtered view of the dataset.
Russian Train Data for User
This query retrieves all entries for a specific user in the Russian language, providing basic information but limited analytical value.
Spanish Assistant Responses
This query returns a small sample of Spanish-language assistant responses under 200 characters, which provides basic filtering but limited insight into the dataset's patterns.
SQL Console for OpenAssistant/oasst1
Retrieves non-synthetic text entries that do not have a parent, useful for identifying standalone entries.
SQL Console for OpenAssistant/oasst1
The query retrieves English prompts without a parent ID, which provides basic filtering but minimal analytical insight.
SQL Console for OpenAssistant/oasst1
Returns a set of prompt-answer pairs, which provides a basic view of interactions but does not offer deeper analytical insights.
SQL Console for OpenAssistant/oasst1
The query retrieves 5000 prompt-answer pairs in English where the prompt is directly followed by an assistant's response. This provides a basic glimpse into the conversation dynamics but does not reveal significant trends or insights.