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.
Automated Fine Tuning GPT 3.5 Turbo for Function Calling - Dataset Generation Is Also Automated
Overview
Syllabus
Introduction and Demo
Code files overview
Dataset generation
Starting Fine tune
echohive projects
Detailed code review
Taught by
echohive
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