Quick Start Guide to Large Language Models: Strategies and Best Practices for ChatGPT, Embeddings, Fine-Tuning, and Multimodal AI, 2nd Edition

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Advanced Open-Source LLM Fine-Tuning

Introduction

If I were to admit an ulterior motive for writing this book besides helping you understand and use LLMs, it would be to convince you that with the proper data and fine-tuning, smaller open-source models can be as amazing as huge closed-source models like GPT-4, especially for hyper-specific tasks. By now, I hope you understand the advantages of fine-tuning models over using closed-source models via an API. These closed-source models are truly powerful, but they don’t always generalize to what we need—which is why we need to fine-tune them with our own data.

This chapter aims to help you harness the maximum potential of open-source models to deliver results that rival those possible with their ...