The latest blog posts to take off on Hacker News. 3,240 posts.
Our commitment to developing cutting-edge open models in multiple modalities necessitates a compute solution capable of handling diverse tasks with efficiency. To this end, we conducted a performance analysis, training two of our models, including the highly anticipated Stable Diffusion 3.
The demand for computing power in the AI era is increasing at an unprecedented exponential rate. Luckily, for the past several decades, the miniaturization of CMOS transistor technology following Moore’s law has allowed much of this exponential growth to be accounted for by increasing computer efficiency.
LLMs seem surprisingly good at many things. So much so that not a week goes by without someone coming up with yet another use-case for this technology, often to solve tasks quickly that traditionally took a non-trivial amount of human work to complete. Today’s example was Brendan Dolan-Gavitt’s remarkable experiment…
We’re releasing an open source system, based on FSDP and QLoRA, that can train a 70b model on two 24GB GPUs.
Bard IDOR, a GraphQL directive-overloading DoS that hung Google's backend for 109 seconds, and Workspace data exfiltration via markdown images.
Cloudflare is one of the first providers to safeguard LLM models and users in the era of AI
Following our announcement of the early preview of Stable Diffusion 3, today we are publishing the research paper which outlines the technical details of our upcoming model release, and invite you to sign up for the waitlist to participate in the early preview.
BASED is a linear attention architecture that decodes without a KV-cache, delivering a 24x throughput improvement over Transformers with FlashAttention-2.
This 1.5 release is unlike any of the previous ones. It brings many new features that can improve quality and the general audio experience. That is achieved through machine learning. Although Opus has included machine learning — and even deep learning — before (e.g. for speech/music detection ), this is the first time…
The Claude 3 model family—Haiku, Sonnet, and Opus—sets new industry benchmarks across a wide range of cognitive tasks.
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
Today, we’re excited to announce we’ve completed another piece of the roadmap: Leo can now interact with PDFs and Google Drive files.
Announcing Stable Diffusion 3 in early preview, our most capable text-to-image model with greatly improved performance in multi-subject prompts, image quality, and spelling abilities.
Gemma is a family of lightweight, state-of-the art open models built from the same research and technology used to create the Gemini models.
LlamaIndex introduces LlamaParse and LlamaParse for production-grade RAG. Unlock complex PDF data to improve LLM response quality. Discover how today.
This post will give some example comparisons running Llama 2 uncensored model versus its censored model.
Ollama is now available on Windows in preview, making it possible to pull, run and create large language models in a new native Windows experience. Ollama on Windows includes built-in GPU acceleration, access to the full model library, and serves the Ollama API including OpenAI compatibility.
Magika code and model are freely available starting today in Github under the Apache2 License.
We explore large-scale training of generative models on video data. Specifically, we train text-conditional diffusion models jointly on videos and images of variable durations, resolutions and aspect ratios. We leverage a transformer architecture that operates on spacetime patches of video and image latent codes. Our…
Gemini 1.5 delivers dramatically enhanced performance, with a breakthrough in long-context understanding across modalities.
Documentation and guides from the team at Fly.io.
We’re testing the ability for ChatGPT to remember things you discuss to make future chats more helpful. You’re in control of ChatGPT’s memory.
Cohere's research lab, Cohere Labs, released the Aya model, a state-of-the-art, open source, massively multilingual, research LLM covering 101 languages – including more than 50 previously underserved languages.
Ollama now has initial compatibility with the OpenAI Chat Completions API, making it possible to use existing tooling built for OpenAI with local models via Ollama.
Bard is now known as Gemini, with a mobile app and an Advanced experience that gives you access to our most capable AI model, Ultra 1.0.
Want to use open-source LLM models from Hugging Face on your local development environment? With localllm and Cloud Workstations, you can.
