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DeepSeek, a Chinese AI firm, has launched DeepSeek V3, an advanced open-source AI model. This model boasts 671 billion parameters and outperforms both existing open-source models and closed models like OpenAI's GPT-4o across various benchmarks. Utilizing a mixture of experts architecture, it activates only the relevant neural networks for each task, significantly reducing hardware costs.
The training of DeepSeek V3 required approximately 2788K GPU hours, costing around $5.57 million, which is notably less than the expenses incurred by major U.S. tech companies for training large language models. The model has surpassed competitors like Llama-3.1-405B and Qwen 2.5-72B, and while it was outperformed by Anthropic's Claude 3.5 Sonnet in some benchmarks, it remains a significant advancement in the AI landscape.
• DeepSeek V3 outperforms leading AI models in multiple benchmarks.
• The model's training cost is significantly lower than U.S. tech companies.
An AI model whose source code is made publicly available for use and modification.
A neural network architecture that activates only relevant sub-networks for specific tasks, optimizing resource use.
Variables in a model that are adjusted during training to improve performance on tasks.
DeepSeek is a Chinese AI firm that has developed the DeepSeek V3 model, showcasing significant advancements in open-source AI.
OpenAI is a leading AI research organization known for developing advanced models like GPT-4o, which DeepSeek V3 has outperformed.
5 Sonnet, which outperformed DeepSeek V3 in certain benchmarks.
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