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Ravi

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DeepSeek vs ChatGPT: The Next-Generation AI Showdown

There is a lot of hype on the DeepSeek model. Let’s get into the details of what DeepSeek is and the difference between ChatGPT and DeepSeek models.

DeepSeek, the new artificial intelligence (AI) lab behind the innovation, unveiled its free large language model (LLM) DeepSeek-V3 in late December 2024 and claim it was built in two months for just $5.58 million — a fraction of the time and cost required by its Silicon Valley competitors.

DeepSeek-R1, a new reasoning model made by new researchers from China, completes tasks with a comparable proficiency to OpenAI's o1 at a fraction of the cost.

ChatGPT and DeepSeek are both large language models (LLMs), but they have key differences that have made DeepSeek a notable rival to OpenAI's ChatGPT:

  1. Architecture: DeepSeek uses a Mixture-of-Experts (MoE) system, activating only 37 billion of its 671 billion parameters for any task, making it more computationally efficient.

  2. Open-source nature: DeepSeek is open-source, allowing developers to run it locally and integrate it into applications more easily, while ChatGPT is proprietary.

  3. Cost: DeepSeek is currently free or significantly cheaper to use compared to ChatGPT's subscription model.

  4. Performance: In recent benchmarks, DeepSeek models have matched or surpassed ChatGPT in various tasks, including problem-solving, coding, and math.

  5. Transparency: DeepSeek provides a more transparent "thinking" process, showing steps in its reasoning, which ChatGPT typically doesn't do.

DeepSeek models are considered rivals to OpenAI because:

  1. Rapid development: Chinese researchers built DeepSeek in just two months for $5.58 million, a fraction of the time and cost required by competitors.

  2. Competitive performance: DeepSeek-R1 has surpassed ChatGPT's latest o1 model in many benchmark tests.

  3. Efficiency: DeepSeek's architecture allows for high performance at lower computational costs.

  4. Accessibility: Its open-source nature and lower costs make it more accessible to developers and businesses.

These factors have led to excitement in the AI community.

Citations:
https://www.livescience.com/technology/artificial-intelligence/china-releases-a-cheap-open-rival-to-chatgpt-thrilling-some-scientists-and-panicking-silicon-valley
https://daily.dev/blog/deepseek-everything-you-need-to-know-about-this-new-llm-in-one-place

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