DeepSeek is a Chinese AI company, established in 2023 and supported by the High-Flyer hedge fund, which has taken leaps into the AI space with a series of LLMs. DeepSeek has come up with the release of DeepSeek V3 in December of 2024 as a very important step toward its AI development.
DeepSeek V3 is a large language model that contains 671 billion parameters and follows the Mixture of Experts architecture. A model with this kind of architecture will only activate the needed subset of parameters for any given task, hence making it more efficient and performing well. The model was trained on 14.8 trillion tokens over approximately two months, with a training cost of $5.58 million dollars, showing DeepSeek’s commitment to resource-efficient AI development.
DeepSeek V3 has been reported to outperform the best models in benchmark evaluations:
Coding and Math: It outperforms other models, such as Llama 3.1 405B and Qwen2.5 72B, on several coding and mathematical benchmarks, showing the strong reasoning and problem-solving nature it is able to achieve.
Text Processing: This model performed exceedingly well in both the generation and understanding of texts while obtaining higher scores on more benchmark tests, which show how far the model has gone to develop a knack for generating and making sense of texts that read like man-made ones.
DeepSeek has made DeepSeek V3 an open-source model, furthering its mission to support AI research and development. It finds its place on open-source platforms like Hugging Face, which allows researchers and developers to use and make further improvements to this advanced LLM.
The DeepSeek V3 release is a remarkable landmark in AI development regarding efficient resource utilization during training and the release of open-source code. Its performance on many benchmarks presents the model as a strong value addition to researchers and developers while contributing to the growth in the larger AI community.
DeepSeek V3 has emerged as the quintessential successor to the paradigmatic changes in a class of highly effective large language models, seamlessly blending high efficiency with its use. Truly open-source in nature, this is now the sure spur that will fuel innovation and collaboration within the AI ecosystem to drive rapid innovations of the next generation in AI.