Deepseek's new model

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DeepSeek, a Chinese AI lab, is quickly gaining attention for its efforts to challenge OpenAI’s dominance in the AI field. Since its launch earlier this month, DeepSeek has been in the spotlight, mainly due to its open-source model that utilizes large-scale reinforcement learning at a significantly lower cost compared to competitors like Meta and OpenAI. DeepSeek’s latest release, the DeepSeek-R1, is a cutting-edge reasoning model designed to boost analytical abilities. It comes in two versions: DeepSeek-R1 and DeepSeek-R1-Zero, sparking widespread discussion in the AI community, with many users comparing it to models from OpenAI, Meta, and Microsoft.

Notable reactions to the DeepSeek-R1 include Paul Couvert, an AI educator, who praised the model’s efficiency, stating it runs smoothly on his smartphone and outperforms other models like GPT-4 and Claude 3.5 Sonnet in math tasks. Another user, ZeroEdge, tested the model’s ability to implement a Python script for a rotating triangle with a bouncing red ball and shared how DeepSeek-R1 handled the task effectively. Additionally, Alex Cheema demonstrated the model's capabilities by running it across multiple Mac Minis and MacBook Pros, highlighting the potential for improved performance through advanced memory configurations. Lastly, Riley Brown quickly built a Perplexity AI clone using DeepSeek-R1 without writing a single line of code, underscoring the model’s ease of use and versatility. DeepSeek’s innovations are clearly making waves in the AI community.

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