Build an LLM from Scratch 7: Instruction Finetuning

Part 7 of the series focuses on instruction fine-tuning for large language models (LLMs). The tutorial guides viewers through building a personal assistant-like model, preparing datasets, and fine-tuning techniques. It emphasizes the importance of evaluating model responses and introduces methods for systematic evaluation using another LLM, ultimately aiming for improved performance.