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Yesterday at NVIDIA GTC, Together AI unveiled its newest enhancements to its purpose-built, turbocharged AI Acceleration Cloud [5].
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Yesterday at NVIDIA GTC, Together AI unveiled its newest enhancements to its purpose-built, turbocharged AI Acceleration Cloud [5].
* RUN INFERENCE FOR MORE MODELS, FASTER – Serverless APIs and Dedicated Endpoints for 200+ open source models [8] including DeepSeek-R1 and Llama.
Google has released a number of key features like Canvas, Audio overview, and coding assistant to its Gemini app and web browser.
Roblox introduces Cube, its generative AI system for 3D and 4D model generation. A beta version of Cube 3D mesh generation will be integrated into Roblox Studio and as a Lua API.
Adobe reported a 1,300% rise in AI search referrals for retailers during the 2024 holiday season, indicating a shift from traditional search engines. Engagement metrics show users from AI search stay longer and bounce less compared to traditional referral users. Despite early mishaps, AI search continues to gain traction, with significant consumer use for shopping and research.
A new, extremely small, state-of-the-art model for document OCR. It can run lightning fast and has sufficient accuracy for many document processing tasks.
This work shows that many popular reward models are brittle to basic rewording of the prompts. It includes a benchmark and a potential strategy to make the reward models more robust.
Niagara introduces a novel framework for reconstructing outdoor 3D scenes from a single image, combining depth and normal estimation with a geometric affine field and 3D Gaussian decoding.
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Stability AI has released a great multiview camera system that allows for novel view synthesis. It is powerful, non-commercial, and not quite state-of-the-art, but it runs quickly in just two forward passes.
SteerX has proposed a zero-shot inference-time method to improve geometric alignment in 3D/4D scene generation using pose-free feed-forward reconstruction models and geometric reward functions.
MaTVLM is a hybrid vision-language model that integrates Mamba-2 layers into a pre-trained VLM, improving convergence speed and performance.
You can personalize almost any image without additional fine-tuning or training by using token replacement in a Diffusion Transformer.
This blog post describes how to build a browser based training system accelerated by WASM.
Google DeepMind has unveiled Gemini Robotics and Gemini Robotics-ER, AI models enhancing robots' fine motor skills and adaptability for real-world applications. Gemini Robotics integrates vision, language, and action capabilities, allowing robots to perform complex tasks like origami folding. Early results highlight significant improvements in generalization and dexterity over previous models, with Google's model partnering with Apptronik and others for further development.
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Connect your apps (email, calendar, files, payments, etc.). Select your AI model from GPT, Claude, Deepseek, Grok, or others. Then simply
Google announced an expanded partnership with NVIDIA at NVIDIA GTC that will focus on AI infrastructure, hardware optimizations, and applications in fields like healthcare, energy, and robotics.
Nvidia currently dominates AI training, but the inference market remains open to competition.
Google is adding new AI features from Gemini to its search but this is seen as playing catch-up to OpenAI's ChatGPT.