🎉 DeepSeek-R1 is now live and open source, rivaling OpenAI's Model o1. Available on web, app, and API. Click for details. Free access to DeepSeek-V3. Experience the intelligent model. DeepSeek-V3 achieves a significant breakthrough in inference speed over previous models.

Jan 20, 2025 · However, DeepSeek-R1-Zero encounters challenges such as endless repetition, poor readability, and language mixing. To address these issues and further enhance reasoning performance, we introduce DeepSeek-R1, which incorporates cold-start data before RL. DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks.

Jan 29, 2025 · DeepSeek R1 is now available in the model catalog on Azure AI Foundry and GitHub, joining a diverse portfolio of over 1,800 models, including frontier, open-source, industry-specific, and task-based AI models. As part of Azure AI Foundry, DeepSeek R1 is accessible on a trusted, scalable, and enterprise-ready platform, enabling businesses to seamlessly integrate advanced AI while meeting SLAs ...

DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without super-vised fine-tuning (SFT) as a preliminary step, demonstrates remarkable reasoning capabilities. Through RL, DeepSeek-R1-Zero naturally emerges with numerous powerful and intriguing reasoning behaviors.

Jan 22, 2025 · DeepSeek-R1 achieves performance comparable to OpenAI-o1-1217 on reasoning tasks. To support the research community, we open-source DeepSeek-R1-Zero, DeepSeek-R1, and six dense models (1.5B, 7B, 8B, 14B, 32B, 70B) distilled from DeepSeek-R1 …

Jan 31, 2025 · DeepSeek-R1, a powerful large language model featuring reinforcement learning and chain-of-thought capabilities, is now available for deployment via Amazon Bedrock and Amazon SageMaker AI, enabling users to build and scale their generative AI applications with minimal infrastructure investment to meet diverse business needs.

Jul 25, 2024 · 🛠️ DeepSeek-R1: Technical Highlights. 📈 Large-scale RL in post-training. 🏆 Significant performance boost with minimal labeled data. 🔢 Math, code, and reasoning tasks on par with OpenAI-o1. 📄 More details: https://github.com/deepseek-ai/DeepSeek-R1/blob/main/DeepSeek_R1.pdf

DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks. To support the research community, we have open-sourced DeepSeek-R1-Zero, DeepSeek-R1, and six dense models distilled from DeepSeek-R1 based on Llama and Qwen.

Jan 31, 2025 · DeepSeek-R1 combines chain-of-thought reasoning with reinforcement learning in which an autonomous agent learns to perform a task through trial and error and without any instructions from a human user.

Jan 25, 2025 · The paper, titled “DeepSeek-R1: Incentivizing Reasoning Capability in Large Language Models via Reinforcement Learning”, presents a state-of-the-art, open-source reasoning model and a detailed recipe for training such models using large-scale reinforcement learning techniques.