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Fine-Tuning Language Models Made Easy
This chapter explores the accessible process of fine-tuning large language models, highlighting the Axolotl tool for configuration management. It emphasizes the importance of using appropriate datasets and prompt templates to ensure effective model performance in various applications. The discussion also addresses the challenges and strategies in data generation, curation, and deployment of chatbots, making fine-tuning approachable for developers.