ai coding assistant: yi-coder series models open a new era of programming

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zero one ten thousand things announced the open source yi-coder series of models, which marks a new height in the development of machine translation technology in the field of coding. the yi-coder series of models is designed for coding tasks. its 1.5b and 9b parameter versions are designed for different user needs and provide flexible application scenarios. the core advantage of yi-coder lies in its powerful semantic understanding ability. it can accurately understand the context and semantics and complete accurate translation.

in the field of coding, machine translation technology is bringing revolutionary changes to developers. traditional translation methods have limitations, such as lack of semantic understanding and difficulty in capturing cultural differences, which result in the translation results not accurately reflecting the true meaning of the text. the yi-coder series of models overcomes these limitations by learning a large amount of programming language data and code and using advanced algorithms for prediction.

yi-coder's strength lies in its powerful coding capabilities and multi-language support. it can handle contextual content with a maximum length of 128k tokens, and is suitable for the understanding and generation of complex project-level codes. what's even more surprising is that yi-coder supports 52 major programming languages, which can help developers write code across languages ​​and reduce the workload of translation.

the official test results of zero one thing show that yi-coder-9b-chat achieved 85.4% and 73.8% pass rates in humaneval and mbpp respectively, and for the first time achieved an accuracy rate of over 50% in cruxeval-o, which shows that the yi-coder series of models have achieved remarkable results in the field of machine translation.

the emergence of the yi-coder series of models marks a breakthrough in artificial intelligence technology, which brings new possibilities to coding tasks. as artificial intelligence technology continues to develop, machine translation technology will become more accurate, natural, and efficient, and will bring more convenience and opportunities to the globalized society.