Fine-Tuning Large Language Models
Tune into our episode on Large Language Models, where we explore the intricate world of fine-tuning techniques like QLoRA, RAFT, and RLHF for specialized tasks. We'll delve into the crucial steps of data preparation, considering quality over quantity, and discuss effective evaluation metrics, emphasizing human involvement for aligning model responses with real-world expectations. Discover how these elements are vital for developing LLMs that truly excel in specific domains.