Tianrang Xiaobai: Tianrang's Next-Gen General Language Model

Tianrang Xiaobai: Tianrang's Next-Gen General Language Model 107

Tianrang's next-generation general-purpose large language model, featuring multilingual conversational interaction, knowledge Q&A, and logical reasoning capabilities.

#Ai工具箱 #Ai平台模型

Tianrang Xiaobai: Tianrang's Next-Gen General Language ModelIntroduction

Tianrang Xiaobai Large Model is a next-generation general-purpose language large model independently developed by Tianrang. Through deep learning training with 186 billion parameters, it possesses core capabilities such as multi-language conversational interaction, knowledge Q&A, and logical reasoning, and continuously optimizes model performance and enhances skills by learning new knowledge.

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Features of Tianrang Xiaobai Large Model:

Large Model Support: Tianrang Xiaobai is equipped with a self-developed large language model with a parameter scale of 186 billion, featuring a broad knowledge base and contextual understanding capabilities, enabling precise handling of complex language tasks.

Application Development Platform:

  • Ease of Use: Provides a visual interface that allows users to quickly create prompts and build AI applications through simple AI configurations, taking no more than ten minutes.

  • Flexibility: Supports the addition of structured documents such as Excel, CSV, JSON, etc., as well as image OCR processing to enhance data processing capabilities.

  • Multi-Version Models: Offers large model versions of different costs and scales, such as FP16, INT4, and small-scale models with 7B parameters.

Optimized Document Set Features:

  • Structured Document Processing: Supports uploading and parsing documents in multiple formats, such as Excel, CSV, JSON, etc.

  • Image OCR: Automatically recognizes text in images or PDFs, supporting multiple languages.

  • URL Document Download: Documents can be downloaded directly from web pages.

  • Field Type Settings and Semantic Indexing: Customizable document fields to enhance search relevance and accuracy.

Flexible Application Configuration:

  • Custom Context Prompts: Users can adjust prompt templates according to application requirements to customize model output, ensuring content fits specific scenarios.

  • Recall Field Settings: When creating an application, fields can be designated for contextual input or search, improving the relevance and accuracy of answers.

Visual Development Environment: Provides a user-friendly interface that allows even users with zero programming background to quickly build AI applications through drag-and-drop components.

One-Stop Service: Provides end-to-end support from model training and application development to deployment, lowering the technical barriers to AI application development.

Enterprise-Level Application Development: Tailored to enterprise requirements, providing rapid adaptation and customization services, and releasing various enterprise-level intelligent applications, such as intelligent customer service and knowledge management tools.

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Advantages of Tianrang Xiaobai Large Model

  • Multi-Turn Dialogue Support: Possesses excellent multi-turn dialogue capabilities. Whether engaging in in-depth discussions on specific topics or handling users' historical Q&A, the large model can understand context and provide coherent, accurate responses, making conversations smoother and more natural.

  • Sensitive Response to Prompts: Through deep learning of massive language data, the large model can understand semantics, perceive context, better capture key information in prompt words, accurately understand user intent, and leverage rich knowledge to provide more relevant and accurate answers.

  • Strong Reasoning Capabilities: Can make inferences based on existing information. When user-provided questions or context are not clear enough, the large model can analyze relevant information and apply logical reasoning to provide reasonable answers or suggestions.

  • Leading Multi-Language Translation: Can understand and process input in multiple languages and provide accurate translation results. Whether translating from one language to another or conducting conversations across different languages, the large model delivers high-quality translation services.

  • Parameter Models at Different Costs: We offer model services with multiple versions of parameters and precision, including FP16 and INT4 large models with 186 billion parameters, as well as a small model with 7 billion parameters, allowing developers to choose different model solutions based on actual needs. In the future, we will continue to update models of each version and add more third-party models for users to freely use.

Application Scenarios of Tianrang Xiaobai Large Model

  • Intelligent Customer Service: Build customer service systems capable of understanding complex queries and providing accurate answers.

  • Knowledge Management: Help enterprises quickly retrieve internal documents and improve work efficiency.

  • Content Creation: Assist in generating articles, reports, product descriptions, etc.

  • Educational Tutoring: Provide personalized learning resources and answer questions.

  • Multi-Language Translation: Support cross-language communication and document translation.

About Tianrang

Founded in 2016, Tianrang is an innovative enterprise focused on general intelligence research, dedicated to solving the usability and accessibility issues of artificial intelligence, empowering customers with the fastest speed and maximum benefits.

Currently, it widely serves digital scenarios such as enterprise services, digital finance, biotechnology, and urban operations. Tianrang hopes that intelligence will become an infrastructure as fundamental as water, electricity, and gas, bringing breakthrough progress to the sustainable development of human society and making society smarter and wiser.

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