Rafael PRO

rafaelsandroni

AI & ML interests

NLP and ML Engineering

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rafaelsandroni's activity

reacted to julien-c's post with ๐Ÿ”ฅ 15 days ago
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4089
BOOOOM: Today I'm dropping TINY AGENTS

the 50 lines of code Agent in Javascript ๐Ÿ”ฅ

I spent the last few weeks working on this, so I hope you will like it.

I've been diving into MCP (Model Context Protocol) to understand what the hype was all about.

It is fairly simple, but still quite powerful: MCP is a standard API to expose sets of Tools that can be hooked to LLMs.

But while doing that, came my second realization:

Once you have a MCP Client, an Agent is literally just a while loop on top of it. ๐Ÿคฏ

โžก๏ธ read it exclusively on the official HF blog: https://huggingface.co/blog/tiny-agents
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reacted to lewtun's post with ๐Ÿ”ฅ 3 months ago
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10375
We are reproducing the full DeepSeek R1 data and training pipeline so everybody can use their recipe. Instead of doing it in secret we can do it together in the open!

๐Ÿงช Step 1: replicate the R1-Distill models by distilling a high-quality reasoning corpus from DeepSeek-R1.

๐Ÿง  Step 2: replicate the pure RL pipeline that DeepSeek used to create R1-Zero. This will involve curating new, large-scale datasets for math, reasoning, and code.

๐Ÿ”ฅ Step 3: show we can go from base model -> SFT -> RL via multi-stage training.

Follow along: https://github.com/huggingface/open-r1
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