Comprehensive guide to AI agent engineering: how 30+ frameworks actually work under the hood. Context rot, compaction, system prompt assembly, SOUL.md, agent loops, memory systems, tool sprawl, MC ...
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I had completed everything up to the Transformer block, which combines tokenization, Embedding, Self-Attention, LayerNorm, residual connections, and FeedForward. The core mechanisms of GPT were all in ...
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