LLM Fine-Tuning - Explained

Explore parameter efficient fine-tuning (PEFT) in natural language processing and generative AI through this 23-minute video. Learn about the evolution from RNNs to transformers, the challenges of large language models, and various PEFT techniques like additive adapters, prefix-tuning, LoRA, and QLoRA. Gain insights into the importance of PEFT in addressing the computational demands of modern NLP models. Discover how these techniques are applied in popular LLMs like Llama. Follow along with three comprehensive passes, interspersed with quizzes, to deepen your understanding of PEFT's concepts, implementation details, and performance evaluation.

Introduction
Pass 1: What & Why PEFT
Quiz 1
Pass 2: Details
Quiz 2
Pass 3: Performance Evaluation
Quiz 3
Summary