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Slides released for talk on running LLMs locally in the browser

Thomas Bley presented slides from his talk "Run LLMs in the Browser" at iJS Munich. The presentation, available on GitHub, covers running large language models locally within a web browser. Topics include using tools like llama.cpp and WebGPU for efficient on-device AI execution. AI

IMPACT Provides insights into methods for running large language models directly within a web browser, potentially enabling more accessible and private AI applications.

RANK_REASON The item is a social media post sharing slides from a talk, not a primary announcement or research paper.

Read on Mastodon — mastodon.social →

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Slides released for talk on running LLMs locally in the browser

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The item is a social media post sharing slides from a talk, not a primary announcement or research paper.
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Here are the slides for my talk "Run LLMs in the Browser" at iJS Munich: https:// github.com/thomas-0816/talks/b lob/main/Run_LLMs_Locally_in_the_browser_2026_T

    Here are the slides for my talk "Run LLMs in the Browser" at iJS Munich: https:// github.com/thomas-0816/talks/b lob/main/Run_LLMs_Locally_in_the_browser_2026_ThomasBley_iJS_2026.pdf # ai # llm # llamacpp # qwen3 # glm # localai # webgpu # systemone # laya # lfm # mellum # wllama