The success of the open-source DeepSeek R1 Language Model ignited a research effort, focused on understanding all R1 methods and datasets, not publicly available. A new initiative is calling on the Ai research community to contribute to better understand and build on current best AI designs to further improve tech dev of AI.
With the new open-source DeepSeek R1 (Reasoning 1) model we have anow access to a complete new family of open-source reasoning models from Qwen 1.5B to R1-Distill-Qwen32B. The new DeepSeek R1-Distill LM family explained - with benchmark data, compared to Sonnet 3.5, OpenAI o1 and other LLMs.
A groundbreaking collaborative research paper, jointly authored by leading researchers from MIT, Harvard University, Stanford University, and Google DeepMind, delves into the innovative field of multi-agent fine-tuning for language models.
Introducing DeepSeek v3 Engineer! 🚀 This open-source Python alternative to Claude Engineer AI coding agents transforms your coding experience. Built with advanced Mixture-of-Experts architecture and Multi-Head Latent Attention, DeepSeek v3 delivers powerful coding performance at a cost-effective price.
NVIDIA has just announced a new Mini PC. Codenamed "Project DIGITS" it features the new NVIDIA GB10 Grace Blackwell Superchip, offering a petaflop of AI computing performance.
Discover the transformative power of Large Action Models (LAMs) for enterprise executives. Learn how LAMs bridge language models with real-world actions.
