Xinghuo Cognitive Large Model - A next-generation cognitive intelligence model developed by iFLYTEK, offering cross-domain knowledge and language understanding capabilities.

## Overview of the Xinghuo Cognitive Large Model The Xinghuo Cognitive Large Model is a next-generation cognitive intelligence model developed by iFLYTEK. It is designed to provide advanced cross-domain knowledge and language understanding capabilities. The model supports natural dialogue interaction and offers a wide range of functionalities, including language understanding, knowledge Q&A, logical reasoning, mathematical problem-solving, and code generation. It is accessible via web and app interfaces and comes in multiple versions (e.g., Lite, Pro, Max) to cater to different user needs. Additionally, it provides developer APIs and SDKs for integration into various applications. ## Key Features of the Xinghuo Cognitive Large Model The key features of the Xinghuo Cognitive Large Model include: - **Cross-domain knowledge and language understanding**: The model can handle knowledge across multiple domains and supports multi-level, multi-language understanding. - **Natural dialogue interaction**: It understands and executes tasks through natural dialogue, simulating human brain language processing. - **Multiple versions**: The model offers various versions (e.g., Lite, Pro, Max) with different capabilities to meet diverse user needs. - **Built-in plugins**: It supports functionalities like search, weather, date, poetry, vocabulary, and stock information to enhance user experience. - **System and function call support**: Certain versions (e.g., Spark 4.0 Ultra, Max) support system and function calls, making them suitable for complex tasks. - **Network retrieval sources**: Some versions provide links to retrieval sources, enhancing information traceability. - **Context length limits**: Different versions have varying context length limits, ranging from ≤8192 tokens to ≤128*1024 tokens. - **Parameter control**: The model allows control over output randomness via temperature and top_k parameters. ## Accessing the Xinghuo Cognitive Large Model Users can access the Xinghuo Cognitive Large Model through the following methods: - **Web and app interfaces**: The model is accessible via web and app interfaces, allowing users to interact with it naturally and enjoy a variety of built-in plugins and community support. - **Developer APIs and SDKs**: Developers can integrate the model into their applications using APIs and SDKs. Supported programming languages include Python, Java, JS, C#, Go, PHP, uni-app, and WeChat Mini Programs. Authentication is required via app_id and an optional uid, and billing is based on input and output tokens. ## Versions of the Xinghuo Cognitive Large Model The Xinghuo Cognitive Large Model is available in multiple versions, each designed to meet different user needs: - **Lite**: Supports basic functionalities with a context length limit of ≤8192 tokens. - **Pro**: Offers enhanced functionalities with a context length limit of ≤8192 tokens. - **Pro-128K**: Designed for long-context processing with a context length limit of ≤128*1024 tokens. - **Max**: Provides advanced functionalities and supports function calls with a context length limit of ≤8192 tokens. - **Max-32K**: Supports long-context processing and function calls with a context length limit of ≤32*1024 tokens. - **4.0 Ultra**: Includes the latest functionalities and network retrieval support with a context length limit of ≤8192 tokens. - **Scientific Literature Edition (kjwx)**: Specifically designed for scientific literature, with unique functionalities tailored to this domain. ## Functionalities of the Xinghuo Cognitive Large Model The Xinghuo Cognitive Large Model offers a wide range of functionalities, including: - **Content generation**: Supports multi-style, multi-task long-text generation, such as emails, copywriting, official documents, essays, and dialogues. - **Language understanding**: Provides multi-level, cross-language understanding capabilities, including grammar checking, element extraction, text summarization, sentiment analysis, and multi-language translation. - **Knowledge Q&A**: Can answer questions across various domains, such as life knowledge, work skills, and medical knowledge. - **Reasoning capabilities**: Supports chain-of-thought reasoning for scientific and common-sense reasoning. - **Mathematical capabilities**: Can solve various types of mathematical problems with step-by-step solutions. - **Coding capabilities**: Supports multi-language code understanding and writing, making it suitable for software development. ## Application Scenarios for the Xinghuo Cognitive Large Model The Xinghuo Cognitive Large Model is widely applicable in various scenarios, including: - **Education**: Optimizes Chinese and English content for AI learning devices. - **Automotive**: Enhances human-machine interaction in vehicles. - **Office**: Assists in tasks like email writing and marketing planning. - **Translation**: Provides multi-language translation capabilities. Developers can integrate the model into these scenarios using APIs and SDKs, supported by detailed documentation and community resources. ## Official Resources for the Xinghuo Cognitive Large Model Users can find more information about the Xinghuo Cognitive Large Model on its official website: [xinghuo.xfyun.cn](https://xinghuo.xfyun.cn). The website provides detailed information about the model, its functionalities, and how to apply for access. Developers can also refer to the official documentation and GitHub repository for SDK installation guides and additional resources. ### Citation sources: - [Xinghuo Cognitive Large Model](https://xinghuo.xfyun.cn) - Official URL Updated: 2025-03-26