Learn how to fine-tune GPT-3.5 Turbo for complex tasks with minimal system prompts in this comprehensive 31-minute tutorial. Explore techniques for downloading Wikipedia articles, utilizing GPT-3.5 Turbo Instruct, and leveraging GPT-4 to evaluate document summaries. Master the process of creating fine-tuning datasets for both training and validation, fine-tuning models, managing fine-tuning tasks, and navigating the new OpenAI Playground fine-tuning interface. Gain insights into parallel processing for improved efficiency and discover how to combine summary evaluations effectively.
Fine-Tuning GPT-3.5 Turbo for Complex Tasks with Minimal System Messages
Overview
Syllabus
Intro
Summary eval code review
Downlading wikipedia articles code review
GPT 3.5 instruct summaries code review
GPT 3.5 instructr summary parallel code review
GPT-4 Summary eval code review
GPT-4 Summary eval parallel code review
Combine summary evaluations
creating fine tuning dataset code review
Fine tuning code review
Taught by
echohive
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