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.
Discover the transformative power of Large Action Models (LAMs) for enterprise executives. Learn how LAMs bridge language models with real-world actions.
Discover the power of Meta's Llama 3.3, a cutting-edge large language model with improved performance and efficiency. Unlock its potential now.
Harvard MBA Professor Talis Tashera shares insights on effectively implementing AI in business. Learn to leverage AI strategically for competitive advantage.
Explore the evolution of AI agents post-GPT-3 in this deep dive, uncovering key technologies and their applications in domains like healthcare and Southeast Asian TCM.
Discover the challenges and solutions of fine-tuning smaller vision-language models (VLMs) for medical applications, including the impact on Chinese Medicine.
