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An insightful blog by @HamelHusain on "Your AI Product Needs Evals" – a must-read for anyone looking to construct robust LLM evaluation systems for their applications. Here are the three levels of creating LLM evaluation systems: ✨ Level 1 – Unit Tests: ▪ Write scoped tests like assertion, regex confirmation, etc. ▪ Create test cases (manually or using LLMs). ▪ Run and track tests regularly whenever there is a change in the system. ✨ Level 2 – Human & Model Evaluation: ▪ Log the traces of the LLM and the system. ▪ Manually review traces to check for failures and improvements. ▪ Utilize LLMs as evaluators. ✨ Level 3 – A/B Testing: ▪ Conduct A/B testing of the LLM system against the current baseline system. Dive into the blog for a deeper understanding – hamel.dev/blog/posts/evals/

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