20x Faster Background Removal in the Browser Using ONNX Runtime with WebGPU
Using ONNX with WebGPU and WebAssembly leads to 20x speedup over multi-threaded and 550x speedup over single-threaded CPU performance. Learn how.
The latest blog posts to take off on Hacker News. 3,240 posts.
Using ONNX with WebGPU and WebAssembly leads to 20x speedup over multi-threaded and 550x speedup over single-threaded CPU performance. Learn how.
Update (October 2024): In response to numerous requests from external developers, we have open-sourced a version of our Enzyme to React Testing Library (RTL) conversion tool. You can now find it on npm, along with detailed instructions on how to integrate and use it in your projects. In the world of frontend…
Novel view reconstructions for (right) our method and (left) conventional 3D Gaussian Splatting with random initializations. Our method, even with random initialization, faithfully reconstructs the scene (e.g.. buildings at the back and the ground texture) providing much higher quality renderings.
Meta FAIR is releasing several new research artifacts. Our hope is that the research community can use them to innovate, explore, and discover new ways to apply AI at scale.
A survey of every framework for extracting structured output from LLMs, and how they compare.
You can just draw more samples
Learn about Cohere models' ability to perform multi-step tasks, enhancing productivity and efficiency.
Meta is currently operating many data centers with GPU training clusters across the world. Our data centers are the backbone of our operations, meticulously designed to support the scaling demands …
Update Oct. 31, 2024: We are committed to delivering a secure and trusted experience with Recall. We recently shared updates to the security and privacy architecture for Recall in a
How about using it not to think less but *more*?
Nemotron-4 340B, a family of models optimized for NVIDIA NeMo and NVIDIA TensorRT-LLM, includes cutting-edge instruct and reward models, and a dataset for generative AI training.
Blog posts from the lytix team
Mark Hamilton, an MIT PhD student in electrical engineering and computer science and affiliate of MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), wants to use machines to understand how animals communicate. To do that, he set out first to create a system that can learn human language “from…
There has been much anticipation around AMD's flagship MI300X accelerator. With unmatched raw specs, the pressing question remains: Can it outperform NVIDIA's Hopper architecture in real-world AI workloads? We have some exciting early results to share. For the past month, TensorWave and MK1 have worked closely to…
As we continue to focus our AI research and development on solving increasingly complex problems, one of the most significant and challenging shifts we’ve experienced is the sheer scale of co…
Today, we are excited to triple down on our partnership with Mistral AI by co-leading their €600M Series B round.
Announcing ARC Prize - a $1M+ competition towards open AGI progress
Meet pgvectorscale, an open-source PostgreSQL extension that supercharges pgvector’s vector search performance for large-scale vector workloads.
Secure and private AI processing in the cloud poses a formidable new challenge. To support advanced features of Apple Intelligence with larger foundation models, we created Private Cloud Compute (PCC), a groundbreaking cloud intelligence system designed specifically for private AI processing. Built with custom Apple…
At the 2024 Worldwide Developers Conference, we introduced Apple Intelligence, a personal intelligence system integrated deeply into iOS 18…
OpenAI and Apple announce partnership to integrate ChatGPT into Apple experiences.
Apple today introduced Apple Intelligence, the personal intelligence system for iPhone, iPad, and Mac.
How character training cultivates traits like curiosity, open-mindedness, and thoughtfulness in Claude using a variant of Constitutional AI.
A look at some of the current thinking around chunking data for retrieval-augmented generation (RAG) systems.
The Library Innovation Lab is growing knowledge and community by bringing library principles to technological frontiers.
Dragonfly is a vision-language architecture with multi-resolution zoom for fine-grained image understanding, including a medical model beating Med-Gemini.
Using new techniques for scaling sparse autoencoders, we automatically identified 16 million patterns in GPT-4's computations.
GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Introduction After months of efforts, we are pleased to announce the evolution from Qwen1.5 to Qwen2. This time, we bring to you: Pretrained and instruction-tuned models of 5 sizes, including Qwen2-0.5B, Qwen2-1.5B, Qwen2-7B, Qwen2-57B-A14B, and Qwen2-72B; Having been…