Open Source Project

Developed by Google, the pre-trained language model based on the Transformer architecture provides a powerful foundation for a wide range of NLP tasks by learning bi-directional contextual information on large-scale textual data with up to tens of billions of parameters, and has achieved significant performance gains across multiple tasks.

A large open-source multilingual language model developed by over 1,000 researchers from more than 60 countries and 250 institutions, with 176B parameters and trained on the ROOTS corpus, supporting 46 natural languages and 13 programming languages, aims to advance the research and use of large-scale language models by academics and small companies.

Alibaba launched a large-scale language model with multiple parameter scales from 0.5B to 72B, supporting multilingual processing, long text comprehension, and excelling in several benchmark tests.

A high-performance large-scale language model from Microsoft, tuned with instructions to support cross-platform operation, with excellent language comprehension and reasoning capabilities, especially suitable for multimodal application scenarios.

Meta's high-performance open-source large language model, with powerful multilingual processing capabilities and a wide range of application prospects, especially in the conversation class of applications excel.