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Here’s what’s really going on inside an LLM’s neural network

Artificial brain surgery — Anthropic's conceptual mapping helps explain why LLMs behave the way they do. Aurich Lawson | Getty Images With most computer programs—even complex ones—you can meticulously trace through the code and memory usage to figure out why that program generates any specific behavior or output. That's generally not true in the field of generative AI, where the non-interpretable neural networks underlying these models make it hard for even experts to figure out precisely why...

Read more at arstechnica.com

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