WebLLM: A High-Performance In-Browser LLM Inference Engine

from Arxiv Papers · host Igor Melnyk

WebLLM is an open-source JavaScript framework enabling high-performance large language model inference in web browsers, utilizing WebGPU and WebAssembly for efficient local computation and seamless integration. https://arxiv.org/abs//2412.15803 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

Episode metadata supplied by the publisher feed · Published Dec 23, 2024

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WebLLM: A High-Performance In-Browser LLM Inference Engine

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