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Source channel @githubtrending · Post #15385 · Jan 2

#python#deep_learning#inference#openai#quantization#speech_recognition#speech_to_text#transformer#whisper Faster-Whisper is a fast version of OpenAI's Whisper that transcribes audio up to 4x quicker with the same accuracy, using less memory on CPU or GPU—benchmarks show it beats original Whisper (e.g., 1m03s vs 2m23s for 13-min audio on GPU). Install via `pip install faster-whisper`, no FFmpeg needed, and use simple Python code like `WhisperModel("large-v3").transcribe("audio.mp3")` for segments with timestamps. You benefit by getting quick, efficient speech-to-text for real-time apps, saving time and resources on long files or batches. https://github.com/SYSTRAN/faster-whisper

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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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