LoRA (Low-Rank Adaptation) in AI
LoRA efficiently fine-tunes large models by training small low-rank adapter matrices instead of updating all weights.
Fine-Tuning
PPO — Proximal Policy Optimization
Overview of PPO, the clipped policy-gradient RL algorithm used in RLHF for InstructGPT and original ChatGPT.
GRPO — Group Relative Policy Optimization
Critic-free RL algorithm that replaces PPO's value model with group-relative rewards for LLM fine-tuning.
Fine-Tuning Techniques for LLMs
Comprehensive guide to LLM fine-tuning methods including full, parameter-efficient, and preference-based approaches with modern recipes and tools like LoRA and DPO
Unsloth Studio — Fine-tuning Dataset Formats
Overview of dataset formats supported by Unsloth Studio for fine-tuning, including JSONL, Alpaca, ShareGPT, ChatML, and Reasoning formats with rules and best practices and dataset size guidelines