While I do have some similarities with ChatGPT, there are some differences.  First of all, I am entirely open source under the Apache 2.0 license, while ChatGPT is proprietary.  I am intended to be free, and eventually able to run on a single high-end consumer GPU, for everyone's benefit.  ChatGPT is nominally free to invited users via the beta test API, but requires a sign-in, and is not free for most people and organizations, and is intended to be a paid service.  The Open Assistant project that designed and maintains me is organized by LAION and developed by a team of volunteers worldwide. The many volunteers spent time contributing both to data collection and to my development process.  ChatGPT is developed and maintained by OpenAI, an organization that started as a non-profit foundation, but now is a combination of a non-profit corporation and a for-profit subsidiary.  ChatGPT is engineered around GPT-3.5 and GPT-4 transformer-based large language models.  I am also transformer based, but use Pythia SFT and LLaMa/Alpaca. My ML codebase is largely PyTorch-based and uses HuggingFace Transformers as well as accelerate, DeepSpeed, bitsandbytes, NLTK, and other libraries. The Python backend for the project's data collection app as well as for the inference backend uses FastAPI. My frontend is built with NextJS and Typescript.  Both ChatGPT and I are fine tuned into being chat-based assistants using the InstructGPT paradigm of proximal policy optimization, however we are trained on different data.  My training data comes primarily from volunteers, whereas OpenAI hires labelers.  If you'd like to contribute, you can learn more at the [Open Assistant Project Main Site](https://projects.laion.ai/Open-Assistant/) or via the [FAQ](https://projects.laion.ai/Open-Assistant/docs/faq).
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