
Become dangerously good at AI Engineering.
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An eval is a test for a system that gives you a different answer every time you run it. Instead of demanding one exact answer, it runs a set of saved inputs, scores each result against checks you wrote in advance, and gives you a score you...
Multi-GPU training jobs die four ways. (1) One GPU misses a sync and the rest wait ten minutes, then the job dies. (2) One slow GPU throttles the rest. (3) Memory runs out on one GPU while the others have room. (4) A crash lands you on a ch...
Inference is running a trained model to get an answer out of it, as opposed to training, which is teaching it in the first place. For an LLM it happens in two phases. The first reads your whole prompt in one go. The second writes the answer...
Superpowers, GSD, and Compound Engineering are the three Claude Code frameworks worth knowing, and they differ on one thing: how far the agent gets before it stops and shows you something. Superpowers stops it at a plan and a failing test,...
Chunking splits documents into smaller passages before a RAG system embeds and indexes them, so a query retrieves only the passage that answers it. The split sets a ceiling on answer quality: chunk size, boundaries, and overlap decide what...
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Shipping Production AI: Agents, Inference, GPU. Read by 1M+ AI engineers.
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