Evaluating AIs: the secret recipe for not-too-dumb agents
summary
Explains how to evaluate AI agents by defining practical metrics and tests to ensure they behave sensibly. Covers concrete evaluation techniques for agent systems (e.g., benchmark tasks, behavioural checks, and performance criteria) to detect and improve common failure modes.
AI-written summary · about
chapters (8)
- 0:00Introduction
- 3:41Why agents fail often
- 5:51Configuring an AI agent
- 8:16Evaluating agent performance
- 13:13Evaluation process
- 16:23Practical evaluation tips
- 18:48Key takeaways
- 20:39Athletics analogy
related talks
33mEvaluating Your AI Agent
15mEnsure AI Agents Work: Evaluation Frameworks for Scaling Success
27mHow to Build AI Agents and Keep Your Sanity
36mAdvanced Evaluation Techniques for AI Agents
25mWho Let the Bots Out? A Guide to Evaluating AI Agents
15mPractical tactics to build reliable AI apps
47mHow to Build Enterprise-Grade AI Agents Using Robust Evaluation
37mAI agents testing How to evaluate the unpredictable
