AIHacker Noonabout 10 hours ago
AI Internals: A Developer's Field Guide
21 min read
AI systems run on massive linear algebra, not cognition. Neural networks perform weighted sums through activation functions. Training updates billions of weights via backpropagation and gradient descent. Modern reasoning models use Chain-of-Thought prompting to improve output quality. Retrieval-Augmented Generation (RAG) grounds responses in external, queryable knowledge sources.
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