Deepseek AI beats ChatGPT

 

DeepSeek AI is a company that focuses on utilizing artificial intelligence (AI) to help with data discovery, analysis, and decision-making. While there isn’t a widely recognized, singular product under the name "DeepSeek AI" at the time of my last update, companies or tools with similar names typically aim to use AI for specialized data insights, often in areas like:

1. Data Analytics and Search: Leveraging AI to help users more efficiently search through vast amounts of data, helping to identify trends, patterns, or insights that may be hard to find manually.

2. Automated Decision-Making: Using machine learning and AI to provide recommendations based on the data analyzed. For example, it might help businesses make faster, data-driven decisions.

3. Natural Language Processing (NLP): If related to AI-driven search or analytics, these tools might also use NLP to understand and process human language, making it easier for users to ask questions or make queries in plain language.

4. Industry-Specific Solutions: Some AI companies like this focus on specific industries such as healthcare, finance, or cybersecurity, providing solutions that streamline processes and help with high-level decision-making.

   

   • ⚡ Performance on par with OpenAI-o1

   • 📖 Fully open-source model & technical report

   • 🏆 MIT licensed: Distill & commercialize freely!

   • 🌐 Website & API are live now! Try DeepThink at https://shrinkforearn.xyz/9DRM today!

     
     

     
     
     

     
     

     
     

     • 🔥 Bonus: Open-Source Distilled Models!

     • 🔬 Distilled from DeepSeek-R1, 6 small models fully open-sourced

     • 📏 32B & 70B models on par with OpenAI-o1-mini

     • 🤝 Empowering the open-source community

     • 🌍 Pushing the boundaries of open AI!

       
       
       

       
       

       • 📜 License Update!

       • 🔄 DeepSeek-R1 is now MIT licensed for clear open access

       • 🔓 Open for the community to leverage model weights & outputs

       • 🛠️ API outputs can now be used for fine-tuning & distillation

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       • 🛠️ 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://shrinkforearn.xyz/pa0V

       
       
       

       
       

       DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via

       Reinforcement Learning

       DeepSeek-AI

       research@deepseek.com

       Abstract

       We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. 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. However, it encounters challenges such as poor readability, and language mixing. To address these issues and further enhance reasoning performance, we introduce DeepSeek-R1, which incorporates multi-stage training and cold-start data before RL. 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.

       download:  https://shrinkforearn.xyz/FpS3fI

       • 🌐 API Access & Pricing

       • ⚙️ Use DeepSeek-R1 by setting model=deepseek-reasoner

       • 💰 $0.14 / million input tokens (cache hit)

       • 💰 $0.55 / million input tokens (cache miss)

       • 💰 $2.19 / million output tokens

       • 📖 API guide: https://shrinkforearn.xyz/LInOz