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Needle-in-a-Haystack Testing for LLMs
We have massive AI models that claim to be "world-class intelligent," yet they often fail at basic tasks like finding a specific fact in a long document. This episode explores the disconnect between benchmark scores and real-world performance, diving into EvalScope, an open-source toolkit designed to stress-test long-context retrieval and agentic capabilities. We discuss the "lost in the middle" phenomenon, the danger of overfitting to public benchmarks, and why testing speed and tool-use is just as important as raw intelligence. Episode 2008 — myweirdprompts.com/n/2008 (permanent short link…
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