Forest Friends Zine

Learn to build system evals for your LLM-driven app

9 followers

Learn to build system evals for your LLM-driven app

9 followers

How do you know your improvements don't have regressions? How do you know you're driving better outcomes for your customers? This issue is a guide for AI Engineers building system evals for their LLM-driven apps.

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Launch tags:Artificial Intelligence•Coding Books

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Render Sandboxes: a computer for every agentGive every agent its own machine. Starts in under a second

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OpenMarketCap

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I like the illustrations! The book is informative without a lot of jargon. They've clearly put a lot of care and effort into it, where the content is well organized with plenty of illustrations throughout. Across 60 pages, they explain model vs. system evals, vibe checks and property-based tests, designing eval criteria, aligning llm-evaluators, how to measure alignment via various metrics, how to analyze evals to improve our system, and more.

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2yr ago

@iamwil Wow, this looks like a solid read. Love how you've packed it with illustrations and kept the jargon minimal. Makes the whole concept of evaluating models and systems way easier to grasp. Kudos to you and the team for the effort!

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2yr ago

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