Embeddings vs Fine-Tuning - Supervised Fine-tuning - Part 2

Dive into the second part of a comprehensive video tutorial on embeddings and fine-tuning, focusing on supervised fine-tuning. Learn how to effectively implement fine-tuning techniques, understand the differences between chat and base models, and explore supervised versus unsupervised approaches. Discover methods for converting datasets into Q&A format and practice supervised fine-tuning using Google Colab. Gain valuable pro tips and access scripts and GitHub repositories to enhance your learning experience. Follow along with presentation slides and a Llama 2 Inference Notebook to compare chat and base models.