@rasmus1610
Building LLM apps feels different, right? Their opaque nature makes predicting outputs and behavior really tough. 🤔 So how do you move beyond guesswork and actually improve your LLM-based products reliably? https://t.co/gx2oL40GLM
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"full_text": "The key? Systematic Error Analysis! 🔍\n\nTreat it like science: Observe where your app goes wrong, form hypotheses, test changes, and repeat.\n\nI shared my practical process for this, using my radiology RAG app (https://t.co/3zGEt006wk) as a case study. https://t.co/N8DNHmMIgq",
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