What is GLM-4-Flash
GLM-4-Flash is the first free large model API launched by Zhipu AI. GLM-4-Flash not only supports multi-turn dialogue and multilingual processing, but also features advanced capabilities such as web browsing and code execution. Developers and enterprises can, on theZhipu AI Open Platform, access and use it for free. The GLM-4-Flash model has significant advantages in both "speed" and "performance," providing a highly cost-effective AI solution.
Main features of GLM-4-Flash
- Multi-turn dialogue: Supports a 128K context, with a maximum output length of 4K, enabling coherent conversational exchanges.
- Multilingual support: Supports 26 languages, including Chinese, English, Japanese, Korean, and German.
- Extremely fast generation speed: The generation speed is approximately 72.14 token/s, roughly equivalent to 115 characters/s.
- Web retrieval: Can parse web page content and answer questions or generate content based on web page information, for example, accessing weather, news, and other information in real time.
- Code execution: Has the ability to understand and execute code, and can be used for programming question answering or code generation.
- Custom tool invocation: Can invoke specific tools or functions according to user needs.
Technical principles of GLM-4-Flash
- Deep learning: GLM-4-Flash uses deep learning algorithms, especially the Transformer architecture, which is a model commonly used to process sequence data and is particularly suitable for natural language processing tasks.
- Self-attention mechanism: The self-attention mechanism in the Transformer model allows the model, when processing a sequence, to consider information from all positions in the sequence, which helps capture long-distance dependencies.
- Multilayer perceptron: The model contains multiple layers of perceptrons, and each layer transforms and abstracts the input data, gradually extracting higher-level features.
- Pretraining and fine-tuning: GLM-4-Flash adopts a technical route of pretraining plus fine-tuning. In the pretraining stage, the model is trained on a large amount of text data to learn the basic rules and knowledge of language. In the fine-tuning stage, the model is adjusted for specific tasks to improve its performance on those tasks.
How to use GLM-4-Flash
- Registration and verification: Visit theZhipu AI Open Platform to create an account and complete identity verification.
- Obtain an API Key: Find and copy your API Key in the Zhipu AI console. This is the authentication information required when calling the API.
- Environment preparation: Ensure that Python or another supported programming language is installed in the development environment. Install the required SDK or API calling library.
- Write code: Use the API Key to write code and call the GLM-4-Flash API interface. Construct request parameters, including the model name, input messages, and so on.
- API call: Execute the code and send the API call via an HTTP request. Choose synchronous or asynchronous calling methods as needed.
Application scenarios of GLM-4-Flash
- Chatbot: As customer service or an online assistant, provide 24/7 automated reply services.
- Content creation: Automatically generate articles, blogs, stories, or other text content, saving editors' and authors' time.
- Language Translation: Translate conversations or text in real time, helping cross-language communication.
- Educational Assistance: Provide personalized learning materials to help students learn and practice languages.
- Programming Assistance: Help developers write, check, and optimize code, and provide solutions to programming problems.