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Introducing `claude-llm-trainer` ✍️ The world's simplest way to train a task-specific LLM. Just write a sentence describing the model you want. A chain of AI systems will generate a dataset and train a model for you. And it's open-source.

383,165 次观看 • 2 年前 •via X (Twitter)

9 条评论

Matt Shumer 的头像
Matt Shumer2 年前

How it works: - The user describes the model they want Ex: "A model that writes Python functions" - claude-llm-trainer leverages a chain of Claude 3 calls to create a great dataset for your task. - We process the dataset, and train a LLaMA model!

Matt Shumer 的头像
Matt Shumer2 年前

This was based off of an older project I did, so the model we train is LLaMA 2 7B. If you want, you can easily use a newer + better model like Mistral 7B.

Matt Shumer 的头像
Matt Shumer2 年前

You can go from an idea to a fully trained model in a matter of minutes. And the resulting models are really capable!

Matt Shumer 的头像
Matt Shumer2 年前

If you'd like to try it or contribute, check out the Github repo:

Matt Shumer 的头像
Matt Shumer2 年前

Incredible haha

mAI 的头像
mAI2 年前

Man, do you ever sleep?

Matt Shumer 的头像
Matt Shumer2 年前

Haha yeah, been getting this question a lot lately though lol

AI Adventurer 的头像
AI Adventurer2 年前

Well, that sir is excellent stuff!

al𝕏 的头像
al𝕏2 年前

LLM recursion 😂 that's awesome

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Santiago

164,162 次观看 • 2 年前