📚 GenAI Leader's Guide to LLM Evaluations and Testing.  Get your copy
free introductory guide

GenAI Leader's Guide to LLM Evals

LLMs are behind today’s top tools — from chatbots to code assistants to healthcare apps. But building reliable, safe systems — especially in the enterprise environment — requires more than just great prompts.

This guide introduces the essentials of LLM evaluation — before launch and in production. You'll also learn about techniques like red-teaming and observability to make your systems more trustworthy.

What we will cover:
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How evaluating LLM systems differs from model benchmarking
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Key evaluation methods — human, automated, and hybrid
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When to evaluate — prototyping, testing, and live monitoring
This guide is for GenAI leaders and anyone involved with building or deploying LLM systems — from governance teams to data scientists — who want a clear, non-technical intro to LLM evaluations.
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