晚上好，辛苦一天了，放松一下吧。
Tencent Hybrid is Tencent's chain-wide self-research big model platform, providing AI services such as text, image, video, 3D asset generation and logical reasoning. The platform is enterprise-oriented through Tencent Cloud APIs, supporting multi-scenario applications such as content creation, enterprise services, intelligent assistants, etc. It excels in Chinese semantic understanding and multi-modal interaction.
Meta Llama official website is the core platform for obtaining the open source large language model LLaMA series. The website provides LLaMA 1/2/3 and other versions of the model's technical documentation, download resources and API guide, covering text generation, multimodal understanding, code generation and other application scenarios, to facilitate developers and researchers to quickly get started and deployment.
Tongyi Wanxiang is an AI creative platform launched by Aliyun, providing core functions such as text-to-diagram, diagram-to-video, and image style migration. The platform supports a variety of drawing styles and video ratios, has a built-in structured cue thesaurus, and features material management and project set functions. Users can get free inspiration value every day, and developers can also access the service through the API.
Tianyang Xiaobai is a large model application development platform for developers and general users. It allows users to configure cue words, adjust the engine and quickly create personalized AI applications without programming through a visual interface and rich components. The platform has a built-in self-developed large language model and a variety of parameter models, and provides an accurate semantic search engine that supports efficient retrieval of documents such as PDF, Word, etc., aiming to provide accurate answers based on facts and reduce the "illusion" of large models.
GPT-OSS AI platform is based on OpenAI open source models and provides two model options, GPT-OSS 120B and 20B, focusing on fast response and deep inference respectively. The platform features enterprise-grade security standards, fast global access, and instant use without waiting, making it suitable for a variety of professional scenarios such as content creation, programming, and data analysis.
K2 is an open-source large language model designed specifically for the geosciences. It is based on the LLaMA architecture and is first pre-trained in the domain on a large amount of geoscience literature (including open access papers and Wikipedia), and then fine-tuned using the knowledge-intensive instruction data GeoSignal. In the GeoBench benchmark evaluation consisting of NPEE and AP Geology, Geography, and Environmental Science tests, K2 outperforms similar parameter-scaled baseline models on a number of objective and subjective tasks. The project will open source the associated code and data.
TigerBot is a multilingual large language model , its 7B version performance up to 96% of similar models . Project open source model, code and data, including 100G pre-training and 1G fine-tuning data, providing API support for rapid customization. Optimized algorithms and Chinese processing on the basis of BLOOM , suitable for finance , law and other professional fields of development .