Introduction To Arize AX Evals @arizeai
Introduction To Arize AX Evals  @arizeai
Uploaded February 2026 | Updated September 2026, 2 weeks ago
​This workshop is an evaluation 101 primer for teams who want the latest, research-driven best practices for doing evals well across the agent lifecycle. We cover evaluation fundamentals, dig into the practical tradeoffs of LLM-as-a-Judge, and walk through a concrete code-based eval example. It wraps with an Arize AX demo highlighting how evals connect to other important workflows.
Introduction To Arize AX EvalsAI Agent Mastery Certification Course: Module 2 – Agent Engineering & ObservabilityYour First Code Eval for Agents: Catch Bugs in 5 Lines of Python | Ep. 6The Flaw in Most AI Evaluation VendorsHow Microsoft’s Azure AI Foundry Builds Trustworthy AI Agents, with PhoenixAI Agent Mastery Certification Course: Lab 4 – Tools & MCPLLM-as-a-Judge for Agents: How to Build a Custom Eval Rubric That Works | Ep. 7Inside Typeforms AI Agent StackWhy AI Agents Need Their Own Observability Layer | AWS | Arize Observe 2026Testing Self-Evaluation Bias of LLMsUpstart’s First AI Voice Bot: Lessons From Production | Shiv Indap | Arize Observe 2026Analyzing LLM Evaluations of Customer Reviews Using Repetitions Feature
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Introduction To Arize AX Evals

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