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Infinite-Parameter LLMs: Generating and Adapting Weights from Live Data
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Infinite-Parameter LLMs: Generating and Adapting Weights from Live Data

Hacker News·21 days ago
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The scaling laws hold that a language model grows more capable with more parameters and more training data, and Mixture-of-Experts (MoE) architectures have ridden these laws to remarkable results, activating only a fraction of an enormous stored parameter…

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Why Uncertainty Changes How IT Must Reason
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Why Uncertainty Changes How IT Must Reason

Forrester·Charles Betz·6 months ago
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A Conversation With Murray Cantor (Part 2) In Part 1, Murray Cantor reframed technical debt as economic liability and argued that uncertainty is not an annoyance to be minimized, but the core feature of IT investment.…

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