Large Model

Google introduces advanced AI models with powerful reasoning capabilities, multimodal support, and ultra-long context windows for multiple scenarios such as academic research, software development, creative work, and enterprise applications.

The world's first big model of music reasoning introduced with thought chain technology released by KunlunWanwei supports multi-style and emotional music generation, song reference and tone cloning with low latency and high quality performance, and opens up API services for enterprises and developers to integrate the application.

The world's largest biology AI model, jointly developed by multiple top organizations, is trained based on massive genetic data and can accurately predict genetic variants and generated sequences to help breakthroughs in life sciences.

Amazon has introduced a new generation of generative AI speech models with unified model architecture, natural and smooth voice interaction, real-time two-way conversation capability and multi-language support, which can be widely used in multi-industry scenarios.

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.

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.

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

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.

A platform that connects experts with AI model development to optimize the quality and reliability of generative AI through human expertise.

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

Google introduced a lightweight open source large language model , both high performance and easy to deploy , suitable for local development and multi-scenario applications .

DeepMind's advanced world model generates interactive, physically logical 3D virtual environments in real time from textual cues, and is widely used in gaming, education, and AGI research.

The next-generation multimodal big model introduced by OpenAI has stronger language understanding, generation and cross-modal interaction capabilities, and is widely applicable to content creation, intelligent assistants and enterprise applications.

ByteDance's open-source 36 billion parameter-long contextual big language model supports 512K tokens, a controlled mind budget, excels in inference, code and agent tasks, and is freely commercially available under the Apache-2.0 license.

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.

Tencent launched the open source raw image model, which natively supports 2K HD raw images, accurately parses complex semantics, and can efficiently generate high-quality images with Chinese and English fusion.

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.

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.

Alibaba launched an efficient video generation model that can accurately simulate complex scenes and actions, support Chinese and English special effects, and lead a new era of AI video creation.

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.

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.

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.

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.