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What is langgpt
LangGPT is a new type of prompt design tool, which proposes a structured and repeated prompt writing methodology to help users write high -quality prompt words. The tool is inspired by the programming language. The design framework of the double -layer structure is designed, which is easy to learn and apply. LangGPT supports flexible customization through built -in and extended modules to adapt to different application scenarios. LangGPT establishes an online community to promote the communication and sharing of prompt design, and improve the practicality and ease of use of the framework.
Langgpt’s main function
- Systemic template: LangGPT provides rich templates, users can quickly write prompt words according to the template.
- flexibility: By using variables, users can easily quote, set and change the content in the prompts.
- Interaction: LangGPT’s workflow design makes user interaction simple and easy to guide users.
- Modular configuration: LangGPT makes full use of the ability of large language models to meet complex prompts through modular configuration.
- Reminder function: Effectively alleviate the lack of long -term memory and maintain the coherent of dialogue.
Langgpt’s technical principle
- Double -layer prompt design framework：LangGPT adopts a double -layer structure, similar to the class and object structure in programming language.
- Built -in module: Define a set of preset modules, such as roles, goals, constraints, etc. The module contains the necessary internal elements of the prompt.
- Extended module: Support users to add new modules according to specific needs, which improves the flexibility and scalability of the framework.
- Modular configuration：The prompt words are decomposed into multiple modules, and each module represents the difference between the interaction between the large language model.Users can select and combine different modules as needed to build reminder words suitable for specific tasks.
- Structured and standardized：LangGPT emphasizes the structure and standardization of the prompt, making the prompts clearer, easy to understand and reused.Provide clear templates and formats to reduce learning costs.
- The combination of natural language and programming language：Design inspiration comes from the structured characteristics of programming language, while retaining the flexibility of natural language. Establish a prompt word through analog programming language, such as variables, functions, classes, etc.
How to use langgpt
Use LangGPT to write high -quality prompts (Prompt) can be roughly divided into the following steps:
- Understand the core concept of LangGPT：
- template: LangGPT provides a series of templates, such as Role templates to guide users how to build prompt words.
- variable: Use a specific mark (such as “
“) Let’s represent the dynamic content in the reminder word. - Workflow: Define steps and processes of interaction with users.
- Choose the right template: Select the right template according to the role or the task played by the big language model (LLM). For example, if you want a model to play a poet, choose a template specially designed for the poet’s character.
- Fill in the template content: Fill in the necessary information according to the structure of the template. Including the description, skills, rules, workflows, etc. of the character.
- Use variable: Use variables in the template to represent the part that can be changed, such as the user input or the character’s specific attribute.
- Define workflow: Design the work process of interacting with users, including how the character receives the user input and how to respond.
- Initialized role: If you need it, you can write initialization for the character, which is the step to execute before the character starts to interact with the user.
- Test and adjustment: Enter the wrote prompts into a large language model for testing. Adjust and optimize the prompts based on the output of the model.
- Use LangGPT assistant: Use LangGPT assistant to help design and optimize the prompt. The assistant can generate the corresponding prompt template according to the user’s needs.
Langgpt product pricing
- At present, the project has been free open source on GitHub, becoming the top ten projects of the GitHub open source community.
Langgpt application scenario
- Content creation: Auxiliary writers, marketing staff generate articles outline, advertising copy, etc.
- Code writing: Help programmers to generate code fragments and solve programming problems.
- Data analysis: Assist data analysts to build data query sentences to explain and analyze the results.
- Educational counseling: Provide personalized learning materials and exercises for teachers and students.
- Customer service: Construct a smart customer service system to improve customer service quality.
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