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Sara Han Díaz

sdiazlor

AI & ML interests

Data curation and generation, RLHF, RAG, Prompt Engineering

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commented on their article about 2 hours ago

Fine-tune Deepseek-R1 with a Synthetic Reasoning Dataset

new activity about 2 hours ago

sdiazlor/civil-human-rights-question-answering:Librarian Bot: Add language metadata for dataset

new activity about 2 hours ago

sdiazlor/rag-human-rights-from-prompt:Librarian Bot: Add language metadata for dataset

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commented on Fine-tune Deepseek-R1 with a Synthetic Reasoning Dataset about 2 hours ago

Hi @shymkovic ! This tutorial aims to highlight the process so that you can replicate it with your configuration or desired LLMs. There is no special reason to use the distilled version other than the fact that it is available through the Serverless Inference API, so everyone could test it.

New activity in sdiazlor/civil-human-rights-question-answering about 2 hours ago

Librarian Bot: Add language metadata for dataset

#2 opened 21 days ago by

librarian-bot

New activity in sdiazlor/rag-human-rights-from-prompt about 2 hours ago

Librarian Bot: Add language metadata for dataset

#1 opened 18 days ago by

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updated a collection about 10 hours ago

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2 items • Updated about 10 hours ago

reacted to burtenshaw's post with 🔥 about 12 hours ago

Post

2002

The Hugging Face agents course is finally out!

👉 https://huggingface.co/agents-course

This first unit of the course sets you up with all the fundamentals to become a pro in agents.

- What's an AI Agent?
- What are LLMs?
- Messages and Special Tokens
- Understanding AI Agents through the Thought-Action-Observation Cycle
- Thought, Internal Reasoning and the Re-Act Approach
- Actions, Enabling the Agent to Engage with Its Environment
- Observe, Integrating Feedback to Reflect and Adapt