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Source channel @githubtrending · Post #14747 · May 25

#python#deep_learning#intel#machine_learning#neural_network#pytorch#quantization Intel Extension for PyTorch boosts the speed of PyTorch on Intel hardware, including both CPUs and GPUs, by using special features like AVX-512, AMX, and XMX for faster calculations[5][2][4]. It supports many popular large language models (LLMs) such as Llama, Qwen, Phi, and DeepSeek, offering optimizations for different data types and easy GPU acceleration. This means you can run advanced AI models much faster and more efficiently on your Intel computer, with simple setup and support for both ready-made and custom models. https://github.com/intel/intel-extension-for-pytorch

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Venture Village Wall 🦄

@venturevillagewall · Post #3793 · 01/05/2025, 04:00 AM

Onchain Builder + Streamer Prototype Coming Soon Jesse Pollak, head of the Base protocol, predicts a high likelihood of an onchain builder + streamer prototype launching this year. The integration of AI will enable publishing at ten times the speed and facilitate live broadcasting. AI will assist with coding, design, and marketing as well. Read more on X. #AI#Crypto#VC#Base#streaming#onchain#technology#innovation#AIintegration#publishing#livebroadcasting#coding#design#marketing#Prototyping#development#future