Large Model

Hangzhou Depth Seeker has launched an efficient open source language model with 67.1 billion parameters, using a hybrid expert architecture that excels at handling math, coding and multilingual tasks.

An AI model developed by Fei-Fei Li's team that achieves superior inference performance at a very low training cost.

Google released a high-performance AI model with strong coding performance and the ability to handle complex cues with a contextual window of 2 million tokens.

Google introduced a new generation of AI models that support multimodal inputs and outputs and natively integrate intelligent tools to provide developers with powerful and flexible assistant functions.

OpenAI introduces small AI models with inference capabilities and cost-effective pricing, designed for developers and users to optimize application performance and efficiency.

The mega-scale Mixture of Experts model introduced by AliCloud's Tongyi Thousand Questions team stands out in the AI field for its excellent performance and wide range of application scenarios.

Vivo's self-developed generalized big model matrix contains several self-developed big models covering core scenarios, providing intelligent assistance, dialog bots, and other functions with powerful language understanding and generation capabilities.

Rockchip has developed the first non-Transformer architecture generalized natural language model with high performance, low cost, multimodal processing capability and private deployment security.

Westlake HeartStar's self-developed universal big model, which integrates multimodal capabilities and possesses high IQ and EQ, has been widely used in many fields.

An innovative big model that combines big language and symbolic reasoning, designed to enhance the credibility and accuracy of applications in finance, healthcare, and other fields.

The multimodal large model independently developed by CloudScience has the ability of real-time learning, synchronous feedback, cross-modal interaction, etc. It is widely used in many industries such as finance, security, government affairs, etc., to promote the popularization and development of AI applications.

OpenAI introduces a multimodal, all-inclusive AI model that supports text, audio and image input and output with fast response and advanced features, and is free and open to the public to provide a natural and smooth interactive experience.

Racer's self-developed advanced video generation model supports the generation of high-quality videos based on text descriptions, helping users to efficiently create artistic video content.

The cross-modal general artificial intelligence platform developed by the Institute of Automation of the Chinese Academy of Sciences has the world's first graphic, text and audio three-modal pre-training model with cross-modal comprehension and generation capabilities, supporting full-scene AI applications, which is a major breakthrough towards general artificial intelligence.

Baichuan Intelligence launched a large-scale language model integrating intent understanding, information retrieval and reinforcement learning technologies, which is committed to providing natural and efficient intelligent services, and has opened APIs and open-sourced some of the models.

The series of large models jointly developed by Tsinghua University and Smart Spectrum AI have powerful multimodal understanding and generation capabilities, and are widely used in natural language processing, code generation and other scenarios.

Baidu's industrial-grade knowledge-enhancing big models, with industry-leading natural language understanding and generation capabilities, are widely used in all kinds of natural language processing and generation tasks, helping enterprises realize intelligent upgrading.

Launched by AliCloud, the ultra-large-scale pre-trained language model has powerful natural language processing and comprehension capabilities, and is able to simulate human thinking for tasks such as multi-round conversations and copywriting, and serves a number of industries and scenarios to provide users with intelligent solutions.

The large-scale language model with powerful semantic understanding and knowledge reasoning capabilities introduced by KU Xunfei is widely used in many fields such as enterprise services, intelligent hardware, and smart government.

Kunlun World Wide's self-developed double-gigabyte large language model, with powerful text generation and comprehension capabilities and support for multimodal interaction, is an important innovation in the field of Chinese AI.

Developed by Tencent, the Big Language Model features powerful Chinese authoring capabilities, logical reasoning in complex contexts, and reliable task execution.

Huawei has developed an industry-leading, ultra-large-scale pre-trained model with powerful natural language processing, visual processing, and multimodal capabilities that can be widely used in multiple industry scenarios.

ByteDance launched a self-developed big model. Through byte jumping internal 50 + business scene practice verification, daily 100 billion tokens large use of continuous polishing, to provide multi-modal capabilities, with high quality model effect for the enterprise to create a rich business experience

Shangtang Technology has launched a comprehensive big model system with powerful natural language processing, text-born diagrams and other multimodal capabilities, aiming to provide efficient AI solutions for enterprises.

(Moonshot AI) launched a large-scale AI general model with hundreds of millions of parameters, capable of processing inputs of up to 200,000 Chinese characters, and widely used in natural language processing, intelligent recommendation, medical diagnosis and other fields, demonstrating excellent generalization ability and accuracy.

Zero One Everything has introduced a generalized large model of AI with hundreds of billions of parameter scales, with powerful natural language processing capabilities and a wide range of application prospects.

Based on industrial data and technology, Jingdong has developed an intelligent large model with extensive industry application capabilities, and is committed to providing efficient and intelligent solutions for enterprises.

Developed by Hangzhou Depth Seeker, a large open source AI project integrating natural language processing and code generation capabilities, supporting efficient information search and answering services.

A large language model with 530 billion parameters, released by Mistral AI, with multilingual support and powerful reasoning, language understanding and generation capabilities to excel in complex multilingual reasoning tasks, including text comprehension, transformation and code generation.

360 company independently developed a comprehensive large model, integrated with multimodal technology, with powerful generation creation, logical reasoning and other capabilities, to provide enterprises with a full range of AI services.