Evaluating AI Agents and LLMs: Metrics & Safety 🧠

This presentation explores the evaluation of AI agents, focusing on critical metrics such as performance, bias, and scalability, alongside safety implications. It emphasizes testing vulnerabilities, defining ethical boundaries, and fostering industry collaboration to achieve robust and ethical AI systems. Tailored for intermediate teams, it provides actionable insights to improve AI reliability and fairness.