NEW UNIT in the Hugging Face Reasoning course. We dive deep into the algorithm behind DeepSeek R1 with an advanced and hands-on guide to interpreting GRPO.
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NEW UNIT in the Hugging Face Reasoning course. We dive deep into the algorithm behind DeepSeek R1 with an advanced and hands-on guide to interpreting GRPO.
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🔗 
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🔗 
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https://huggingface.co/reasoning-course
reasoning-course
org
resource
https://huggingface.co/reasoning-course
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This unit is super useful if you’re tuning models with reinforcement learning. It will help with:
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This unit is super useful if you’re tuning models with reinforcement learning. It will help with:
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- interpreting loss and reward progression during training runs
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- interpreting loss and reward progression during training runs
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- selecting effective parameters for training
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- selecting effective parameters for training
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- reviewing and defining effective reward functions
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- reviewing and defining effective reward functions
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This unit also works up smoothly toward the existing practical exercises form 
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This unit also works up smoothly toward the existing practical exercises form 
@mlabonne
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mlabonne
  and Unsloth.
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  and Unsloth.
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📣 Shout out to 
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📣 Shout out to 
@ShirinYamani
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ShirinYamani
 who wrote the unit. Follow for more great content. 
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 who wrote the unit. Follow for more great content. 
NEW UNIT in the Hugging Face Reasoning course. We dive deep into the algorithm behind DeepSeek R1 with an advanced and hands-on guide to interpreting GRPO.

🔗 https://huggingface.co/reasoning-course

This unit is super useful if you’re tuning models with reinforcement learning. It will help with:

- interpreting loss and reward progression during training runs
- selecting effective parameters for training
- reviewing and defining effective reward functions

This unit also works up smoothly toward the existing practical exercises form @mlabonne  and Unsloth.

📣 Shout out to @ShirinYamani who wrote the unit. Follow for more great content. 
❤️
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