Introducing Inversion, our family of structured LLMs. Our first... generation models excel in structured tasks, offering unmatched speed, latency, reliability, and efficiency, with the most comprehensive typed JSON output support available anywhere.show more

Introducing 𝗦𝘂𝗽𝗲𝗿 𝗝𝗦𝗢𝗡 𝗠𝗼𝗱𝗲, a framework for low latency... structured output generation from LLMs. Generate JSON up to 𝟮𝟬𝘅 𝗳𝗮𝘀𝘁𝗲𝗿 from OpenAI and open source models. ❌ No need to threaten the model, tip the AI, etc ❌ Built with Alex Derhacobian 🔧 🧵👇show more

Introducing Batch URL Enrichment on our playground 🔥 Now... you can process multiple URLs at a time in our playground with batch scrape & JSON mode. Upload a CSV, paste in a list, or enter URLs one by one to turn any collection of sites into structured LLM ready data in seconds.show more

🇸🇦 Check out this stunning time-lapse of the Hajj... crowds at Mecca. The speed and efficiency with which they move hundreds of thousands of people is unmatched anywhere else in the world.show more

New Generation Model! 🚨 We're introducing the Mistral model... to our expanding lineup of generation models. Mistral brings efficient performance and strong language understanding capabilities to our platform. Initial testing shows promising results in code comprehension and generation tasks, making it a valuable addition to development workflows. While we continue to optimize its implementation, early benchmarks demonstrate consistent and reliable outputs across various programming tasks.show more

LongWriter Unleashing 10,000+ Word Generation from Long Context LLMs... discuss: Current long context large language models (LLMs) can process inputs up to 100,000 tokens, yet struggle to generate outputs exceeding even a modest length of 2,000 words. Through controlled experiments, we find that the model's effective generation length is inherently bounded by the sample it has seen during supervised fine-tuning (SFT). In other words, their output limitation is due to the scarcity of long-output examples in existing SFT datasets. To address this, we introduce AgentWrite, an agent-based pipeline that decomposes ultra-long generation tasks into subtasks, enabling off-the-shelf LLMs to generate coherent outputs exceeding 20,000 words. Leveraging AgentWrite, we construct LongWriter-6k, a dataset containing 6,000 SFT data with output lengths ranging from 2k to 32k words. By incorporating this dataset into model training, we successfully scale the output length of existing models to over 10,000 words while maintaining output quality. We also develop LongBench-Write, a comprehensive benchmark for evaluating ultra-long generation capabilities. Our 9B parameter model, further improved through DPO, achieves state-of-the-art performance on this benchmark, surpassing even much larger proprietary models. In general, our work demonstrates that existing long context LLM already possesses the potential for a larger output window--all you need is data with extended output during model alignment to unlock this capability.show more

Today, we're introducing P-Image-Ideogram: a family of Pareto-optimal image... models with the best quality-speed-cost trade-off, co-developed with Pruna AI. Four quality modes. Native 1K and 2K generation. From $0.003 per image. Live now on the API and all our partner platforms. Give it a try:show more

Good discussion and a clear common ambition at MED9... to improve our collective management of migration in the Mediterranean. In particular by supporting Member States with crisis response, and structured approaches through reinforced partnerships with our southern neighbourhood.show more

Introducing DI-PCG: A diffusion-based Image2PCG framework that automates Procedural... Content Generation, and our first step towards neural symbolic 3D generation. The demo showcases six object categories and can be extended to support customized PCGs. Links in comments. CC: Wang Zhaoshow more

New Generation Model! 🚨 We're introducing the o3m model... to our expanding lineup of generation models. While still in its beta phase, we're actively refining its output to push its capabilities even further. So far, we've observed a significant leap in physics calculations, AI-driven mechanics, and the overall fluidity of app and game interactions. As we continue to tweak and optimize, expect even greater advancements in precision, automation, and creative execution.show more

Happy to announce P-Video, delivering the fastest and cheapest... video generation on the market. • 𝗛𝗶𝗴𝗵 𝘀𝗽𝗲𝗲𝗱: 10s generation speed for 5s of 720p, 18s generation speed for 5s of 1080p video. • 𝗔𝗳𝗳𝗼𝗿𝗱𝗮𝗯𝗹𝗲: $0.02 per second of 720p video, $0.04 per second of 1080p video. • 𝗛𝗶𝗴𝗵 𝗰𝗼𝗻𝘁𝗿𝗼𝗹: A unique draft mode for video preview, taking 2.5s to preview 5s of 720p video and 4.9s to preview 5s of 1080p video. • 𝗠𝘂𝗹𝘁𝗶-𝗺𝗼𝗱𝗮𝗹: Support text, image, and audio input for up to 15s video generation for any format, with audio output support. 💨 Run it self-serve via API here: - -, also available on Replicate, Runware, Cloudflare, Runpod, Wiro, Qubrid AI 👉 Test it in the playground: - - 🎡 Explore applied demos: - - ⭐️ Star our OSS GitHub:show more

Industry-leading AI-powered threat protection performance and power efficiency 💡... Introducing the #FortiGate 90G—the first Secure #SDWAN appliance and #NGFW with the new SP5 ASIC. Learn more about this expansion of our Secure Networking portfolio:show more

ESMFold2 and the ESM-C family, now available for use!... We’ve partnered with biohub (the ESM team’s new home), to provide day 1 access to their newly open-sourced series of models. The family of models show best-in-class results for structure prediction, de novo design, and protein-language model tasks.show more

The first two plushes in our official Fields of... Mistria collection—and the first bath bomb set in the history of Fangamer—have arrived! It's all available now, along with our March and Reina lenticular pins:show more

After months of work, and with the help of... our awesome community, we're excited to finally share LM Studio 0.3.0! 🎉 🔥 What's new: - Built-in Chat with Documents, 100% offline - OpenAI-like 'Structured Outputs' API with any local model - Total UI revamp (with dark/light/sepia themes) - Load & serve multiple LLMs *on the local network* - Available in 7 languages! 🌎🌍🌏 - Download any supported model from Hugging Face - Update LLM runtimes (llama.cpp) separately from the app ... and tons more goodies! Let us know how you like it! 👾🤝show more

Introducing Muse Image and Muse Video, the first media... generation models developed by Meta Superintelligence Labs. Muse Image is our most advanced image generation model yet. It follows instructions faithfully, edits with precision, composes from multiple references, and draws on Instagram for social context. It also brings agentic tool use capabilities to image generation and integrates with Muse Spark. You can try Muse Image in the Meta AI app and web, as well as in Instagram Stories and WhatsApp – starting in limited countries with more locations on the way. Today we’re also previewing Muse Video, which is built upon the same pretraining base as Muse Image to deliver exceptional visual fidelity with native audio support. Learn more about both models:show more

We've been defining the actual frontier of AI for... science: - created the most powerful agents and generative models of our biomolecular world - coupled with the most accurate models of state - proved again and again ability to break novel ground in drug design >>> now I'm looking for those who want to push frontier LLMs even further, in an environment where you see the impact on real science the next day 1/2show more

Everybody has to buy $HYPER on-chain, including team, KOL,... affiliates, and all holders however there are 4 different ways to claim $HYPER. Distribution is structured and aligned with the long term vision of our token, protections built in for token sustainability 🧵show more

Introducing LLaMa Chat: The fastest way to chat with... AI at Meta/Meta's Llama2! Try it here: feedback appreciated! This is our first step towards building a blazing-fast LLM inference completely in-house, for everyone to try. What's next? We'll be hooking up the bigger LLAMAs and eventually deploying our own in-house LLMs. All of this in service of building the best and fastest answer engine. Come join us, we're hiring!show more