Tag: Reddit

Study of ChatGPT citations makes dismal reading for publishers.[1] Study shows 88% of Gen Z uses AI at work.[2] Google DeepMind Research Unlocks the Potential of LLM Embeddings for Advanced Regression.[3] ControlNets for Stable Diffusion 3.5 Large, Blur, Canny, and Depth.[4] Sources: [1] https://techcrunch.com/2024/11/29/study-of-chatgpt-citations-makes-dismal-reading-for-publishers/ [2] https://www.foxnews.com/video/6365334892112 [3] https://www.marktechpost.com/2024/11/28/google-deepmind-research-unlocks-the-potential-of-llm-embeddings-for-advanced-regression/?amp [4] https://stability.ai/news/sd3-5-large-controlnets submitted by /u/Excellent-Target-847 [link] [comments]

submitted by /u/MetaKnowing [link] [comments]

submitted by /u/MetaKnowing [link] [comments]

The new Alibaba QwQ 32B is exceptional for its size and is pretty much SOTA in terms of benchmarks, we had deepseek r1 lite a few days ago which should be 15B parameters if it's like the last DeepSeek Lite. It got me thinking what would happen if we had this architecture with the next generation of scaled up base models (GPT-5), after all the efficiency gains we've had since GPT-4's release(Yi-lightning was around GPT-4 level and the training only costed 3 million USD), it makes me wonder what would happen in the next few months along with the new inference scaling laws and test time training. What are your thoughts? submitted by /u/user0069420 [link] [comments]

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submitted by /u/MetaKnowing [link] [comments]

submitted by /u/MetaKnowing [link] [comments]

Amazon has developed new generative artificial intelligence that can process images and video in addition to text.[1] Alibaba releases an ‘open’ challenger to OpenAI’s o1 reasoning model.[2] Nvidia Breaks Ground With Edify 3D.[3] A new open-source Python package Aisuite makes it easy for developers to use large language models from multiple providers.[4] Sources: [1] https://finance.yahoo.com/news/amazon-develops-video-ai-model-020110086.html [2] https://techcrunch.com/2024/11/27/alibaba-releases-an-open-challenger-to-openais-o1-reasoning-model/ [3] https://www.forbes.com/sites/johnwerner/2024/11/26/nvidia-breaks-ground-with-edify-3d/ [4] https://github.com/andrewyng/aisuite submitted by /u/Excellent-Target-847 [link] [comments]

Google DeepMind and the Quantum AI team have introduced AlphaQubit, an AI-powered system that significantly improves quantum error correction. Highlighted in Nature, this neural network uses advanced machine learning to identify and address errors in quantum systems with unprecedented accuracy, offering a 30% improvement over traditional methods. AlphaQubit was trained on both simulated and experimental data from Google’s Sycamore quantum processor and has shown exceptional adaptability for larger, more complex quantum devices. This innovation is crucial for making quantum computers reliable enough to tackle large-scale problems in drug discovery, material design, and physics. While AlphaQubit represents a significant milestone, challenges remain, including achieving real-time error correc...

submitted by /u/EthanWilliams_TG [link] [comments]