Module Chapters
Chapter 01
Fine-Tuning Basics
Master the fundamentals of Fine-Tuning large language models, including Supervised Fine-Tuning, Instruction Tuning, and Catastrophic Forgetting.
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Chapter 02
LoRA and PEFT
Coming soon
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Chapter 03
RLHF
Learn how RLHF works, from the reward model to the PPO algorithm, to align language models with human preferences.
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Chapter 04
Module Review: Fine-Tuning
Review & Cheat Sheet
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