A Chinese startup in Hangzhou, DeepSeek, recently made headlines after launching its new large language model, DeepSeek V3. This model is said to be performing better and more efficiently than the existing models of the well-established players like Meta and OpenAI.
Key Features of DeepSeek V3
Parameters and Architecture: DeepSeek V3 has 671 billion parameters, and is a Mixture-of-Experts (MoE) architecture. This design allows only 37 billion of the model's parameters to be engaged for a particular task. The efficiency improvement remains high but it is greatly increased[2][6].
Training Efficiency: The model was trained for almost two months while costing about $5.58 million, using just 2.78 million GPU hours. For perspective, Meta's Llama 3.1 took about 30.8 million GPU hours, while DeepSeek demonstrated the capability to be at the frontier AI performance but at a small fraction of the cost that its competitors entailed[4][6].
Performance Capabilities: DeepSeek V3 offers a wide scope of text tasks, such as coding and text generation. At times, in benchmark tests it has been described to be equal or even superior compared to models developed by OpenAI's GPT-4o and Anthropic's Claude 3.5 Sonnet 4[6]. It could be observed occasionally that the model refers to itself as ChatGPT during its testing process since it might be trained on referring data to the other AI models 3.
Open Source Availability: One of the most important aspects of DeepSeek V3 is that it is open source, which is in line with a growing trend in the AI community to democratize access to advanced AI technologies. This approach allows developers to use DeepSeek V3 for various applications without the restrictive licensing often associated with proprietary models[6][7].
Implications for the AI Landscape
DeepSeek V3's successes indicate a change in the direction of how large language models are developed and deployed. By showing that high-performance AI can be created with less computational power and cost, DeepSeek challenges traditional approaches that rely heavily on vast resources. This development could prompt other companies to reassess their strategies in an increasingly competitive market where open-source models are becoming more viable alternatives to closed-source counterparts[6][8].
In summary, DeepSeek V3 is AI tech that reflects huge leaps by putting high-performance ability with economic ways of training with an open-source philosophy of potential future alteration to the artificial development processes.
Reference List:
[1] www.deepseek.com
[2] https://www.scmp.com/tech/tech-trends/article/3292507/chinese-start-deepseek-launches-ai-model-outperforms-meta-openai-products
[3] https://techcrunch.com/2024/12/27/why-deepseeks-new-ai-model-thinks-its-chatgpt/
[4] https://economictimes.indiatimes.com/news/international/us/chinese-startup-deepseek-outsmarted-meta-and-openai/articleshow/116751002.cms
[5] https://dirox.com/post/deepseek-v3-the-open-source-ai-revolution
[6] https://www.maginative.com/article/deepseek-v3-achieves-frontier-ai-performance-at-a-fraction-of-the-cost/
[7] https://www.linkedin.com/posts/chrisskaling_deepseek-ai-just-released-deepseek-v3-a-activity-7278872362333171712-cNCn
[8] https://www.marktechpost.com/2024/12/26/deepseek-ai-just-released-deepseek-v3-a-strong-mixture-of-experts-moe-language-model-with-671b-total-parameters-with-37b-activated-for-each-token/
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