For anyone looking to boost their LLM fine-tuning and alignment skills this decemeber.  We're running this free and open course called smol course. It’s not big like Li Yin and 
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For anyone looking to boost their LLM fine-tuning and alignment skills this decemeber.  We're running this free and open course called smol course. It’s not big like Li Yin and 
@mlabonne
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mlabonne
, it’s just smol.
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, it’s just smol.
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👷 It focuses on practical use cases, so if you’re working on something, bring it along.
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👷 It focuses on practical use cases, so if you’re working on something, bring it along.
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👯‍♀️ It’s peer reviewed and open so you can discuss and get feedback.
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👯‍♀️ It’s peer reviewed and open so you can discuss and get feedback.
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🤘 If you’re already a smol pro, feel free to drop a star or issue.
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🤘 If you’re already a smol pro, feel free to drop a star or issue.
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 > > Part 1 starts now, and it’s on instruction tuning!
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 > > Part 1 starts now, and it’s on instruction tuning!
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https://github.com/huggingface/smol-course
https://github.com/huggingface/smol-course
link
For anyone looking to boost their LLM fine-tuning and alignment skills this decemeber.  We're running this free and open course called smol course. It’s not big like Li Yin and @mlabonne, it’s just smol.

👷 It focuses on practical use cases, so if you’re working on something, bring it along.

👯‍♀️ It’s peer reviewed and open so you can discuss and get feedback.

🤘 If you’re already a smol pro, feel free to drop a star or issue.

 > > Part 1 starts now, and it’s on instruction tuning!

https://github.com/huggingface/smol-course
❤️
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