DeepSeek-V3 is the company’s general language model, released in December 2024, that redefines the efficiency and versatility of large language models.
With a context window of up to 128K tokens, V3 is designed to address a wide range of tasks: from natural conversations and writing texts to complex programming and data analysis problems.
Its training, carried out on 14.8 billion tokens, stands out for having been carried out at a fraction of the cost of its competitors, around $5.6 million (according to its creators). Although it is not without controversy, due to alleged industrial espionage and censorship on “sensitive” issues.
This model compares favorably with high-level alternatives such as GPT-4 from OpenAI, Gemini from Google or even Llama 3.1 from Meta, but with the added advantage of being open-source.
The efficiency of DeepSeek-V3 lies in its innovative utilization of techniques such as multiple latent attention and selective activation of experts, allowing it to obtain high-quality results without the need for enormous computational resources.
Thanks to these features, V3 is positioned as a robust and flexible option for developers and companies seeking to integrate advanced AI at a lower cost, without giving up performance and scalability.
For more information about Deepseek we have a section with all the details.
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