Fine-tuning LLMs with Hugging Face SFT 🤗


Topics that will be covered:

✅  Specialized Fine-Tuning: Adapt LLMs for niche tasks using labeled data.

  Introduction to Instruction Tuning: Enhance LLM capabilities and controllability.

✅  Dataset Preparation: Format datasets for effective instruction tuning.

✅  BitsAndBytes & Model Quantization: Optimize memory and speed with the BitsAndBytes library.

✅  PEFT & LoRA: Understand the benefits of the PEFT library from HuggingFace and the role of LoRA in fine-tuning.

✅  TRL Library Overview: Delve into the TRL (Transformers Reinforcement Learning) library’s functionalities.

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