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MLC project enables 70B LLMs on browsers and iPhones

By PulseAugur Editorial · [1 sources] ·

Tianqi Chen, a professor at CMU and co-founder of OctoML, discussed the capabilities of MLC, a project enabling large language models to run on consumer devices. The technology allows for the deployment of models with up to 70 billion parameters directly within web browsers and on smartphones. This advancement aims to make powerful AI accessible on a wider range of hardware, reducing reliance on cloud infrastructure. AI

IMPACT Enables broader access to powerful AI models on personal devices, reducing cloud dependency.

RANK_REASON Discussion of a project enabling LLM deployment on consumer devices, originating from academic and industry research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Latent Space Podcast →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

MLC project enables 70B LLMs on browsers and iPhones

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Discussion of a project enabling LLM deployment on consumer devices, originating from academic and industry research. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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infra, model release
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High
Clearly on-topic for AI-industry coverage.
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1188 days old
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COVERAGE [1]

  1. Latent Space Podcast TIER_1 English(EN) · Latent.Space ·

    LLMs Everywhere: Running 70B models in browsers and iPhones using MLC — with Tianqi Chen of CMU / OctoML

    <p>We have just announced our first set of speakers at AI Engineer Summit! Sign up for the livestream or email [email protected] if you’d like to support. We are facing a massive GPU crunch. As both startups and VC’s hoard Nvidia GPUs like countries co...</p>

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