How To Build Reliable Agents - Practical Guide Based On OpenAI’s Cookbook
AI Summary
The video discusses building reliable agentic workflows, based on a blog post by the OpenAI team. It emphasizes the importance of crafting workflows that utilize AI effectively while mitigating common issues like hallucinations and unpredictability. The video outlines three key use cases covered in the blog, emphasizing the structured approach to creating these workflows. Firstly, it highlights the need for chunking information to ensure AI models can effectively process long documents, reducing ambiguity in their responses. Additionally, it describes a tournament-style approach in evaluating generated protocols in pharmaceutical research, aiming for better comparative accuracy. Finally, it touches on digitizing handwritten forms for insurance claims using AI, stressing a multi-step process that enhances accuracy and reliability. Overall, the video advocates for calculating costs and maintaining transparency in decision-making to ensure that AI can aid human expertise rather than replace it. Best practices include defining success criteria, implementing logging, and ensuring human oversight in AI workflows.