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Taming Rogue AI Agents with Observability-Driven Evaluation — Jim Bennett, Galileo
AI-103 Lesson 4: Responsible AI for Generative and Agentic Systems (Guardrails, Red Teaming)
How to Evaluate Agents: Galileo’s Agentic Evaluations in Action
AI Evaluation & Guardrails for Developers
AI Agent Debugging with Galileo | Multi-Agent Observability Demo Pt. 1
LLM Observability, Evaluation, Experimentation Platform — Dat Ngo, Arize
Guardrails AI Explained: Make Your LLM Outputs 100% RELIABLE and SAFE
Taming Rogue AI Agents with Observability-Driven Evaluation
Evaluation Agents: Exploring the Next Frontier of GenAI Evals
Evaluating AI Agents: Evals, Benchmarks, Observability & Guardrails | Agentic AI Roadmap #13
Galileo AI (Agent Reliability Platform) — Monitoring and evals for GenAI and multi-agent systems
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Last Updated: October 3, 2026
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Summary
Learn Eval Engineering in this free, 5-part, hands-on course presented by 90% of LLM agents often drift into failure when prompts, retrieval, external data, and policies interact in unpredictable ways. This session ... Your agent called tool B before tool A, and B has a dependency on A. You did not catch it because nothing in your code audits ... From simple RAG to advanced agents, You can not ship what you can not measure. Level 13 covers agent
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