LLM in a Loop: Automating Feedback with Evaluations

This video tutorial, the fourth in an AI agents series, explores how to enhance LLM systems through automated feedback loops. Learn the motivation behind implementing evaluation systems, understand the concept of "LLM in a Loop," and discover three evaluation types: rule-based, LLM-based, and real-world feedback. Follow along with a practical example of building an Upwork profile rewriter using OpenAI's Responses API, complete with code demonstrations and implementation steps. The tutorial also addresses limitations of this approach and provides references to academic research. Access the accompanying blog post and GitHub code repository to implement these techniques in your own AI projects.