DeepSeek R1 is a powerful, open-source language model focused on advanced reasoning. It uses a unique RL-driven approach and a 671B MoE architecture to achieve state-of-the-art results, outperforming comparable models on various benchmarks.
Hey Guys,
DeepSeek launched DeepSeek R1, a major step forward for open-source reasoning in large language models!
Key Highlights:
🧠 RL-Driven Reasoning: DeepSeek R1 pioneers a unique approach, applying reinforcement learning directly to the base model without prior supervised fine-tuning.
🚀 Powerful Architecture: Features a robust 671B parameter MoE architecture with 37B activated.
🔥 High-Performing Distilled Models: Including a Qwen-32B variant that outperforms OpenAI-o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.
✅ Open Source: DeepSeek has generously open-sourced both the main model and several smaller distilled models.
🥇 Superior Performance: Outperforms comparable models on math, code, and reasoning benchmarks.
You can directly experience DeepSeek R1 by visiting DeepSeek's chat page and enabling the "DeepThink" option.
For developers looking to dive deeper, you can find the DeepSeek R1 model (and other distilled models based on R1), code on GitHub & HuggingFace.
Excited to see what the community builds with this powerful new tool!
It's an intriguing new strategy. For my own work, I can see how it could significantly improve thinking.
Still one of the most mind blowing projects to be open source. What are the expected costs to self host this? I suppose a 4090 will not work? Would it be cheaper than $20 for ChatGPT?
DeepSeek R1 completely blew me away with its accuracy and ability to handle complex queries
How does DeepSeek R1 compare to other models like GPT-4 when it comes to handling complex reasoning tasks?
In fact, the benchmarks are self-evident. I'm excited to incorporate this into my existing routine.
DeepSeek R1 is nothing short of revolutionary in the language model space. Its open-source nature combined with its advanced RL-driven approach and 671B MoE architecture sets it apart from the competition.
What impressed me most is its performance in advanced reasoning tasks. It consistently outperforms other models on multiple benchmarks, proving its capability in real-world applications. For developers, researchers, and AI enthusiasts, having access to such a powerful tool is a game-changer.
Whether you're tackling complex problem-solving or building cutting-edge AI applications, DeepSeek R1 is a must-have. The open-source aspect makes it even more appealing for fostering innovation. Highly recommend diving into this groundbreaking model!
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