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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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ChatGPT AI Technology News

@chatgpt_officialnews · Post #207 · 07/28/2025, 08:43 PM

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🚨Major Image Update Unlocked!🚨 Our AI image generation just got faster, smarter, and more customizable! ✏️ ➕ We’ve added powerful new models and settings to give YOU more control and stunning results: 🆕 FLUX.1 [schnell] – Ultra-fast with customizable settings 🆕 Stable Diffusion – Balanced, sharp, and detailed visuals ✅ LCM (Latent Consistency Model) – Lightning-fast and lightweight 🔍Why it matters: 🎯 Generate images in under 5 seconds 🪙 Uses fewer tokens – perfect for free users 🖼 Great for artistic, stylized outputs 🔄 Ideal for rapid experimentation and high-volume image creation ➡️Whether you're building, designing, or dreaming — our new models are here to help you create faster and better than ever. Try it now and unleash your imagination! ✨ ➖➖➖➖🔻 🧠 BOT: @Chatgpt_OfficialBOT 💎@Chatgpt_OfficialNews #️⃣#AIUpdate#LCM#StableDiffusion#FLUX#NeuralHubAI#AIArt ➖➖➖➖🔺

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