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10x Faster Than Traditional LLMs

Why it matters

Inception Labs CEO Stefano Ermon discusses a 2024 breakthrough paper on diffusion language models, which the description says matched traditional LLMs on quality. He also explains the reported trade-off that diffusion generated text 10 times faster than an autoregressive model, and how that result led to starting a company.

Discuss: If diffusion language models can match autoregressive models on quality while generating text 10 times faster, what trade-offs would matter most in deciding where to use them?

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Watch: https://www.youtube.com/watch?v=FLdF462oWNY

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