As the year 2024 draws to a close, a remarkable milestone in the AI sector has been achieved with the release of DeepSeek V3 by China’s AI company, DeepSeek. This large-scale model has become the highlight of the AI field for the year, making a significant splash with its open-source debut.
DeepSeek’s V3 model has not only outperformed Llama 3.1 405B but also boasts a parameter count that is just one-third of GPT-4o, all while being significantly more affordable than Claude 3.5 Sonnet, yet matching its performance. The training of DeepSeek V3 consumed a mere 2.8 million GPU hours and an approximate cost of 5.576 million USD, a figure that remains within reach for startups.
Throughout 2024, DeepSeek sequentially unveiled a series of remarkable research achievements:
1. **DeepSeek LLM**: Launched as the company’s first large-scale model with 67 billion parameters, trained on a 2 trillion token dataset, surpassing the performance of Llama2 70B Base.
2. **DeepSeek-Coder**: A suite of code language models that excel in programming language comprehension and code completion.
3. **DeepSeekMath**: Achieved notable success in mathematical reasoning, coming close to the performance of Gemini-Ultra and GPT-4.
4. **DeepSeek-VL**: An open-source visual-language model that demonstrated robust performance across various visual tasks.
5. **DeepSeek-V2**: A powerful and cost-effective mixed expert language model renowned for its exceptional cost-performance ratio.
6. **DeepSeek-Coder-V2**: Matched the performance of GPT4-Turbo in terms of code understanding and mathematical reasoning.
7. **DeepSeek-VL2**: An advanced visual-language model that significantly improved upon its predecessor, DeepSeek-VL.
8. **DeepSeek-V3**: Characterized by efficient inference and training, surpassing other open-source models and rivaling leading closed-source models.
DeepSeek’s accomplishments have captured the attention of China’s tech community, with its low-cost training strategy redefining the competitive landscape of advanced AI development. The company has not only showcased formidable technical prowess but also exemplified the innovative spirit of Chinese tech enterprises in the face of resource constraints.
For Silicon Valley, 2024 has served as an alarm bell, suggesting that the US’s tech blockade against China may have catalyzed Chinese technological innovation. The journey of DeepSeek indicates that China’s AI research and development are rapidly catching up with, and in some areas surpassing, international standards. As technology continues to advance, 2025 might witness an even more intense technological race.
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As the year 2024 draws to a close, a remarkable milestone in the AI sector has been achieved with the release of DeepSeek V3 by China’s AI company, DeepSeek. This large-scale model has become the highlight of the AI field for the year, making a significant splash with its open-source debut.
DeepSeek’s V3 model has not only outperformed Llama 3.1 405B but also boasts a parameter count that is just one-third of GPT-4o, all while being significantly more affordable than Claude 3.5 Sonnet, yet matching its performance. The training of DeepSeek V3 consumed a mere 2.8 million GPU hours and an approximate cost of 5.576 million USD, a figure that remains within reach for startups.
Throughout 2024, DeepSeek sequentially unveiled a series of remarkable research achievements:
- DeepSeek LLM: Launched as the company’s first large-scale model with 67 billion parameters, trained on a 2 trillion token dataset, surpassing the performance of Llama2 70B Base.
- DeepSeek-Coder: A suite of code language models that excel in programming language comprehension and code completion.
- DeepSeekMath: Achieved notable success in mathematical reasoning, coming close to the performance of Gemini-Ultra and GPT-4.
- DeepSeek-VL: An open-source visual-language model that demonstrated robust performance across various visual tasks.
- DeepSeek-V2: A powerful and cost-effective mixed expert language model renowned for its exceptional cost-performance ratio.
- DeepSeek-Coder-V2: Matched the performance of GPT4-Turbo in terms of code understanding and mathematical reasoning.
- DeepSeek-VL2: An advanced visual-language model that significantly improved upon its predecessor, DeepSeek-VL.
- DeepSeek-V3: Characterized by efficient inference and training, surpassing other open-source models and rivaling leading closed-source models.
DeepSeek’s accomplishments have captured the attention of China’s tech community, with its low-cost training strategy redefining the competitive landscape of advanced AI development. The company has not only showcased formidable technical prowess but also exemplified the innovative spirit of Chinese tech enterprises in the face of resource constraints.
For Silicon Valley, 2024 has served as an alarm bell, suggesting that the US’s tech blockade against China may have catalyzed Chinese technological innovation. The journey of DeepSeek indicates that China’s AI research and development are rapidly catching up with, and in some areas surpassing, international standards. As technology continues to advance, 2025 might witness an even more intense technological race.
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