Apple VLM Model On Webgpu - 検索動画

WWDC25: Unlock GPU computing with WebGPU | Apple | Michael Baeriswyl, PhD

WWDC25: Unlock GPU computing with WebGPU | Apple | Michael Baeriswyl, PhD

視聴回数: 8858 回4 か月前

Apple GPUでの機械学習モデルとAIモデルのトレーニング - WWDC24 - ビデオ - Apple Developer

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2024年6月10日

Unlock GPU computing with WebGPU - WWDC25 - Videos - Apple Developer

Unlock GPU computing with WebGPU - WWDC25 - Videos - Apple Developer

M1 Pro and M1 Max GPU performance versus Nvidia and AMD | AppleInsider

M1 Pro and M1 Max GPU performance versus Nvidia and AMD | AppleInsider

2021年10月19日

appleinsider.com

Apple just released FastVLM on Hugging Face - 0.5, 1.5, and 7B real-time VLMs with WebGPU support 🤯 > 85x faster and 3.4x smaller than comparable-sized VLMs > 7.9x faster TTFT for larger models > designed to output fewer output tokens and reduce encoding time for high-resolution images and works in REALTIME directly in your browser, powered by transformers.js and WebGPU - https://huggingface.co/spaces/apple/fastvlm-webgpu | Md Ismail Sojal

Apple just released FastVLM on Hugging Face - 0.5, 1.5, and 7B real-time VLMs with WebGPU support 🤯 > 85x faster and 3.4x smaller than comparable-sized VLMs > 7.9x faster TTFT for larger models > designed to output fewer output tokens and reduce encoding time for high-resolution images and works in REALTIME directly in your browser, powered by transformers.js and WebGPU - https://huggingface.co/spaces/apple/fastvlm-webgpu | Md Ismail Sojal

視聴回数: 1664 回8 か月前

FacebookMd Ismail Sojal

FastVLM from Apple enables real-time captioning, with MetaQuest and test it in Virtualreality and Mixedreality. 🙌🏻 FastVLM, is a Vision language model 85x faster and 3.4x smaller than anything before. It can understand both visual and text, it runs in real time, has the potential to be run on device. - https://machinelearning.apple.com/research/fast-vision-language-models To set it up, cast the Meta Quest view on the web or using the Meta Quest Developer Hub (for a wider field of view using th

FastVLM from Apple enables real-time captioning, with MetaQuest and test it in Virtualreality and Mixedreality. 🙌🏻 FastVLM, is a Vision language model 85x faster and 3.4x smaller than anything before. It can understand both visual and text, it runs in real time, has the potential to be run on device. - https://machinelearning.apple.com/research/fast-vision-language-models To set it up, cast the Meta Quest view on the web or using the Meta Quest Developer Hub (for a wider field of view using th

視聴回数: 611 回8 か月前

FacebookMd Ismail Sojal

This is cool 🔥 Apple releases FastVLM and MobileCLIP2 on Hugging Face, along with a real-time video captioning demo (in-browser WebGPU) The models are up to 85x faster and 3.4x smaller than previous work, enabling real-time VLM applications! 🤯 It can even do live video captioning 100% locally in your browser (zero install). Huge for accessibility! | 20playtesters

This is cool 🔥 Apple releases FastVLM and MobileCLIP2 on Hugging Face, along with a real-time video captioning demo (in-browser WebGPU) The models are up to 85x faster and 3.4x smaller than previous work, enabling real-time VLM applications! 🤯 It can even do live video captioning 100% locally in your browser (zero install). Huge for accessibility! | 20playtesters

視聴回数: 372 回8 か月前

Facebook20playtesters

Apple's FastVLM and MobileCLIP2: 85x faster, 3.4x smaller AI models | Clem Delangue 🤗 posted on the topic | LinkedIn

視聴回数: 147 回8 か月前

【実践版】2026年5月版ローカルLLM完全ガイド｜クラウドvsローカル・モデル比較・GPU選び方まで徹底解説【ゆっくり解説】

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65K+ Stars • Machine Learning | mlx-vlm — Vision Language Model Inference on Apple Silicon #shorts

視聴回数: 179 回1 か月前

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My Custom Go LLM Engine is 3x Faster Now 🚀 (WebGPU: Mac M4 vs RTX 3050) #golang

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視聴回数: 333 回4 か月前

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I trained a 12M parameter LLM on my own ML framework using a Rust backend and CUDA kernels for flash attention, AdamW, and more.Wrote the full transformer architecture, and BPE tokenizer from scratch.The framework features:- Custom CUDA kernels (Flash Attention, fused LayerNorm, fused GELU) for 3x increased throughput- Automatic WebGPU fallback for non-NVIDIA devices- TypeScript API with Rust compute backend- One npm install to get started, prebuilt binaries for every platformTry out the model f

視聴回数: 78.7万回1 か月前

x.comAadi Kulshrestha

The era of 1-bit LLMs is here — now with WebGPU acceleration! 🤯It's incredible to think that a quantized 1.7B model (just 290MB in size) can run at ~100 tokens per second entirely in your browser.Try the demo yourself 👇

視聴回数: 10.4万回1 か月前

Techinsixty | AI | Apps | Web on Instagram: "FastVLM delivers lightning-fast video captioning with up to 85× speed boosts and 3.4× smaller size, all running 100% locally in your browser with no installs. MobileCLIP2 brings state-of-the-art vision-language understanding to mobile devices, achieving high zero-shot accuracy with 2× smaller models and 2.5× lower latency. Both are fully open-source, privacy-first, and developer-friendly, unlocking new possibilities in accessibility, AR, and creative

視聴回数: 1.1万回8 か月前

Instagramtechinsixty

AppleシリコンでLLMを最適化！MLXによるLLMファインチューニング解説

視聴回数: 1.3万回2025年1月13日

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【#VRアカデミア】VRMの解説と3Dモデルをブラウザで表示してみるデモ【p.09 #みみんく】

視聴回数: 2134 回2018年4月24日

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視聴回数: 1191 回2025年1月17日

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視聴回数: 747 回4 か月前

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AppleのFastVLM：オンデバイスAIの未来を拓く、高速・軽量な「見るAI」の革命

noteのぶさん

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