Forking Fast: Efficiently Estimating Uncertainty Dynamics in Text Generation
Summary
Forking Fast: Efficiently Estimating Uncertainty Dynamics in Text Generation
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Schrodinger’s language models LLMs randomly choose between possible words, and certain choices can lead to wildly different results Goodfire’s latest work shows that those decisions largely end in roughly the same resu…
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Originally reported by arxiv.org
Read the original article →Original headline: Forking Fast: Efficiently Estimating Uncertainty Dynamics in Text Generation