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Learn how to automate dataset generation and fine-tune GPT-3.5 Turbo for improved function calling capabilities using Llama Index. Explore techniques to generate structured data output and create unlimited fine-tuning examples. Discover the process through a comprehensive code review, including dataset generation, fine-tuning initiation, and integration with existing projects. Gain insights into enhancing AI models for better performance in specific tasks.
Syllabus
Introduction and Demo
Code files overview
Dataset generation
Starting Fine tune
echohive projects
Detailed code review
Taught by
echohive