Real time AI is getting incredible. Latency has gotten so good if feels like talking with a person. Check out the demo below, built with @livekit @CerebrasSystems Inference, @DeepgramAI, @cartesia_ai Love seeing portfolio companies collaborate! @dsa @andrewdfeldman https://t.co/zoIBnjIr61
Shayne and I built an insanely fast AI voice assistant in 50 LOC. Llama 3.1 running on @CerebrasSystems. 2.5x faster inference than literally anything else. ๐ฅ 400ms response times. Uses: ๐ @livekit transport ๐ @DeepgramAI STT ๐ง @CerebrasSystems LLM ๐ฃ๏ธ @cartesia_ai TTS https://t.co/LfKwSfD6ye
The fastest Llama3.1 API endpoint on earth: 2x Groq, 20x GPU. Give it a try ๐ https://t.co/n6vxoIkpox
Recent advancements in artificial intelligence are reshaping digital media, particularly through the emergence of deepfake technology and AI-powered tools. A new tool named Deep Live Cam allows users to create live video streams that match their voice in real-time, enabling individuals to appear as anyone during video calls using just a single photo. This tool was launched two weeks ago on GitHub and has gained attention for its potential applications in platforms like Zoom. Additionally, the Llama-3.1 AI model is being utilized for distributed AI inference, boasting impressive speed and efficiency. Reports indicate that the fastest Llama-3.1 API endpoint offers 2.5 times faster inference than competitors, with response times as low as 400 milliseconds. This rapid development in AI technology raises concerns about the implications of fake news and misinformation, with notable figures like Elon Musk and Donald Trump being mentioned in discussions about the potential benefits and risks associated with AI in media.