DeepSeek’s upgraded foundational model excels in coding and maths
The new version and DeepSeek V3 are both foundation models trained on vast data sets that can be applied in different use cases
Chinese artificial intelligence (AI) star DeepSeek has upgraded its open-source V3 large language model by adding parameters and improving capabilities in coding and solving mathematical problems.
The DeepSeek-V3-0324, named after its predecessor and the launch date, has “enhanced reasoning capabilities, optimised front-end web development and upgraded Chinese writing proficiency”, according to a notice on the company’s website.
The new version and DeepSeek V3 are both foundation models trained on vast data sets that can be applied in different use cases, including that of a chatbot. DeepSeek R1, the reasoning model, is based on DeepSeek V3.
The updated foundation model has made improvements in several benchmarks, especially the American Invitational Mathematics Examination (AIME), where it scored 59.4 compared with 39.6 for its predecessor, while achieving an increase of 10 points on LiveCodeBench to achieve 49.2, DeepSeek data showed.
Compared with DeepSeek V3, which has 671 billion parameters and adopts the company’s own commercial license, the new 685-billion-parameter model uses the MIT software licence that is the most popular on developer platform GitHub.
Launched on AI community Hugging Face as well as the company’s own website, DeepSeek-V3-0324 is now the top trending model on Hugging Face, receiving positive comments on its performance.
