Large Model

Xiaomi's open-sourced 7 billion parameter inference macromodel, which outperforms models such as OpenAI o1-mini in mathematical reasoning and code competitions by a small margin.

Tencent's latest release of 3D generated models, modeling accuracy increased by 3 times, geometric resolution of 1536³, support for 3.6 billion voxels of ultra-high definition modeling, and significant enhancement of detail expression.

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.

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

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.

(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.

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

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.

Baidu launched a multimodal strong inference AI model, the cost of which is directly reduced by 80%, supports cross-modal interaction and closed-loop invocation of tools, and empowers enterprises to innovate intelligently.

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 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.

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.

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.

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.

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.

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.

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.

Baidu has launched a new generation of high-level AI assistants to disassemble complex tasks and automate the entire process with autonomous deep thinking, multimodal toolchain invocation and extreme cost advantages.

Alibaba's flagship large model with trillions of parameters, supporting ultra-long context, multi-language understanding and powerful inference programming capabilities, is built for complex tasks and enterprise-class applications.

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

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.

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.

Ema introduces a hybrid expert modeling system that dynamically combines multiple models to accomplish enterprise-class AI tasks at low cost and high accuracy.

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.

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

Anthropic introduces a new generation of AI models with powerful coding, inference and autonomous task execution capabilities for enterprise applications and intelligent agent development.

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.

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.

Ali open source 80 billion parameters of the big model, 1:50 super sparse activation, millions of contexts, the cost down 90%, the performance is comparable to the hundreds of billions of models.

Google launched the world's first native multimodal “doctoral” AI model, with millions of contexts, cross-modal deep reasoning and generative UI as the core, redefining the boundaries of intelligent collaboration from scientific research and creation to everyday tasks.