✨Enroll in Fine-tuning and Reinforcement Learning for LLMs: Intro to Post-Training

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:arrow_forward: Enroll Now!

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Turn pretrained LLMs into production-ready models through post-training

  • Align a pretrained model for real tasks: use SFT and RLHF to improve instruction following, reasoning, and safer behavior.

  • Use evaluation to guide improvements: build evals that reveal problems, choose data and rewards accordingly, and iterate.

  • Get models ready for production, cost-aware: plan promotion and serving, monitor reliably, and account for compute and budget.

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is the repo for this course available? eg if one wanted to download the notebook for assignment 2 and actually train? the utils module may be needed.

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@rodmar You can find the resource for each course in the Q&A category.

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