Breaking News: Tencent Cloud Launches DeepSeek API Interfaces, Including Latest Models
In a significant growth, Tencent Cloud has announced the launch of API interfaces for DeepSeek’s latest models, DeepSeek-R1 and V3. This move is part of Tencent Cloud’s broader strategy too provide robust and high-quality cloud services to its users [1[1[1[1].
The DeepSeek-R1 and V3 models are now available through Tencent Cloud’s public cloud services, enabling users to leverage these powerful AI models for various applications. Additionally, Tencent Cloud’s knowledge engine, part of the company’s knowledge application development platform, has integrated these models and supports online search capabilities. This integration allows developers to quickly build applications using a combination of knowledge libraries and Retrieval-Augmented Generation (RAG) capabilities [1[1[1[1].
Tencent’s TI platform is also offering a limited-time free trial for the DeepSeek-R1 model. As an enterprise-level machine learning platform, TI provides extensive computing power, multiple model sizes, and exclusive code and model deployment services. The platform supports multi-machine distributed deployment and automatic generation of private APIs, making it a comprehensive solution for enterprise-level AI operations [2[2[2[2].
For developers,tencent Cloud’s offering includes the ability to quickly experience DeepSeek models without the need for downloads. The platform supports models ranging from 1.5 billion to 32 billion parameters, catering to both beginners and professional developers. This flexibility makes it ideal for small and medium-sized reasoning tasks, fast experiments, and startup or scientific research projects [3[3[3[3].
Tencent Cloud’s launch of DeepSeek API interfaces and the integration of these models into its knowledge engine and TI platform represent a significant advancement in cloud-based AI services.this development is poised to benefit a wide range of users, from individual developers to large enterprises, by providing powerful and accessible AI tools.
Deep API Interface
Table of Contents
- Deep API Interface
- Interface
- Deployment, three steps to go online, stable, safe and easy to use
- Combining other atomic capabilities, fast access, and flexibly building enterprise-only AI applications
- Large model
- Knowledge Engine
- embed R1 and V3 original models, 0 deployment, low threshold, support private domain knowledge base and network search, and go online at minute level
- Extremely low technical threshold requirements/I want to quickly build customer service, search Q&A, knowledge management and other applications/Seamlessly connect with existing business systems
- Deep API Interface
Interface
Deployment, three steps to go online, stable, safe and easy to use
Combining other atomic capabilities, fast access, and flexibly building enterprise-only AI applications
Large model
Knowledge Engine
embed R1 and V3 original models, 0 deployment, low threshold, support private domain knowledge base and network search, and go online at minute level
Extremely low technical threshold requirements/I want to quickly build customer service, search Q&A, knowledge management and other applications/Seamlessly connect with existing business systems
According to reports, developers can Tencent Cloud Big Model knowledge Engine The Deep model is seamlessly integrated into its own application s…ios. The platform provides multiple rounds of dialog, document analysis, text splitting, embedding calculation and other functions. developers can also achieve deployment-free and low-code large-scale through simple drag and drop. Model capabilities are implemented.
Tencent Cloud said that its big model knowledge engine supports access to private domain documents or databases (such as company facts, product manuals, customer service FAQ, laws and regulations, etc.), and combined with RAG (retrieval enhancement generation) capabilities, Deep can already have Make more accurate and professional answers based on the knowledge base.
Deep API Interface
Interface
Tencent Cloud’s launch of deep API interfaces and the integration of thes models into its knowledge engine and TI platform represent a meaningful advancement in cloud-based AI services. This progress is poised to benefit a wide range of users, from individual developers to large enterprises, by providing powerful and accessible AI tools.
Deployment, three steps to go online, stable, safe and easy to use
According to reports, developers can achieve deployment-free and low-code large-scale model deployment through simple drag and drop. Model capabilities are implemented without complex configurations, making it ideal for both beginners and professional developers. This versatility makes it perfect for small and medium-sized reasoning tasks, fast experiments, and startup or scientific research projects.
Learn more hereCombining other atomic capabilities, fast access, and flexibly building enterprise-only AI applications
The platform supports models ranging from 1.5 billion to 32 billion parameters, catering to both beginners and professional developers. This flexibility makes it ideal for small and medium-sized reasoning tasks, fast experiments, and startup or scientific research projects.
large Model
Knowledge Engine
The big model knowledge engine supports access to private domain documents or databases, such as company facts, product manuals, customer service FAQs, laws and regulations, etc. Combined with RAG (retrieval augmentation generation) capabilities, Deep can already provide more accurate and professional answers based on the knowledge base. This ensures that the answers provided are detailed, insightful, and helpful.
the knowledge engine has extremely low technical threshold requirements. It allows for the fast building of customer service, search Q&A, knowledge management, and other applications. Developers can seamlessly connect these applications with existing business systems, enhancing overall efficiency and effectiveness.
For developers needing further documentation, visit the deepseek API documentation.
