DeepSeek V3 can handle a range of text-based workloads and tasks, like coding, translating, and writing essays and emails from a descriptive prompt. © 2024 TechCrunch. All rights reserved. For personal use only.
This article discusses DeepSeek V3, a new AI model developed by a Chinese AI firm that appears to be one of the most powerful "open" AI models available.
Key Concepts:
* Open vs. Closed AI:
* "Open" AI models have their code and weights publicly accessible, allowing anyone to use, modify, and distribute them.
* "Closed" AI models are only accessible through an API (Application Programming Interface) controlled by the developer, limiting transparency and user freedom.
* Performance: DeepSeek V3 outperforms both open and closed models in various benchmarks, including coding competitions and tasks like translation and essay writing.
* Parameter Size: DeepSeek V3 boasts 671 billion parameters, significantly larger than many other open-source models, potentially contributing to its superior performance.
* Training Data: DeepSeek claims to have trained V3 on a massive dataset of 14.8 trillion tokens, which is crucial for developing a robust and capable AI.
Overall, the article highlights DeepSeek V3 as a significant advancement in the field of open-source AI, demonstrating impressive capabilities and potentially challenging the dominance of closed AI models.
This article discusses DeepSeek V3, a new AI model developed by a Chinese AI firm that appears to be one of the most powerful "open" AI models available. Key Concepts: * Open vs. Closed AI: * "Open" AI models have their code and weights publicly accessible, allowing anyone to use, modify, and distribute them. * "Closed" AI models are only accessible through an API (Application Programming Interface) controlled by the developer, limiting transparency and user freedom. * Performance: DeepSeek V3 outperforms both open and closed models in various benchmarks, including coding competitions and tasks like translation and essay writing. * Parameter Size: DeepSeek V3 boasts 671 billion parameters, significantly larger than many other open-source models, potentially contributing to its superior performance. * Training Data: DeepSeek claims to have trained V3 on a massive dataset of 14.8 trillion tokens, which is crucial for developing a robust and capable AI. Overall, the article highlights DeepSeek V3 as a significant advancement in the field of open-source AI, demonstrating impressive capabilities and potentially challenging the dominance of closed AI models.
