GLM-4-Flash - The first free large model API launched by Zhipu AI

What is GLM-4-Flash?

GLM-4-Flash is the first free large-scale model API launched by Zhipu AI. GLM-4-Flash not only supports multi-turn dialogue and multi-language processing, but also features advanced functions such as web browsing and code execution. Developers and enterprises can access and use it for free on the Zhipu AI Open Platform. GLM-4-Flash models have significant advantages in both speed and performance, providing a highly cost-effective AI solution.

Main functions of GLM-4-Flash

• Multiple rounds of dialogueIt supports 128K context and a maximum output length of 4K, enabling coherent dialogue.
• Multilingual supportIt supports 26 languages, including Chinese, English, Japanese, Korean, and German.
• Extremely fast generation speedThe generation speed is approximately 72.14 tokens/s, which is roughly equivalent to 115 characters/s.
• Web SearchIt can parse web page content and answer questions or generate content based on web page information, such as accessing real-time weather and news information.
• Code executionIt has the ability to understand and execute code, and can be used for solving programming problems or generating code.
• Custom tool callIt can invoke specific tools or functions according to user needs.

Technical Principles of GLM-4-Flash

• Deep learningGLM-4-Flash uses deep learning algorithms, especially the Transformer architecture, which is a model commonly used to process sequential data and is particularly suitable for natural language processing tasks.
• Self-attention mechanismThe self-attention mechanism in the transformer model allows the model to take into account information from all positions in the sequence when processing the sequence, which helps to capture long-distance dependencies.
• Multilayer perceptronThe model contains multiple layers of perceptrons, each of which transforms and abstracts the input data, gradually extracting higher-level features.
• Pre-training and fine-tuningGLM-4-Flash employs a pre-training and fine-tuning approach. In the pre-training phase, the model is trained on a large amount of text data to learn the basic rules and knowledge of language. In the fine-tuning phase, the model is adjusted for a specific task to improve its performance on that task.

How to use GLM-4-Flash

• Registration and AuthenticationVisit the Zhipu AI Open Platform, create an account, and complete real-name authentication.
• Get API KeyFind and copy your API Key in the Zhipu AI console. This is the authentication information required when calling the API.
• Environmental preparationEnsure that Python or another supported programming language is installed in your development environment. Install any required SDKs or API libraries.
• Write codeUse the API Key to write code that calls the GLM-4-Flash API interface. Construct request parameters, including the model name, input message, etc.
• API callsExecute the code to send an API call via an HTTP request. Choose between synchronous or asynchronous calling methods as needed.

Application scenarios of GLM-4-Flash

• ChatbotAs customer service or online assistant, it provides 24/7 automatic reply service.
• Content creationAutomatically generate articles, blogs, stories, or other text content, saving editors and authors time.
• Language translationReal-time translation of conversations or text facilitates cross-language communication.
• Educational SupportIt provides personalized learning materials to help students learn and practice languages.
• Programming aidsIt helps developers write, check, and optimize code, and provides solutions to programming problems.