Fine-tuning Large Language Models for Specific Applications

The chapter explores the need for fine-tuning large language models (LLMs) in order to make them more suitable for specific tasks and applications. It discusses situations where fine-tuning is necessary and the advantages of using fine-tuned LLMs versus prompt engineering. The chapter also covers tools and solutions available for customizing and speeding up the fine-tuning process.