What is LangGPT
LangGPT is a new prompt word design tool that proposes a structured and reusable prompt word writing methodology to help users write high-quality prompt words. The tool is inspired by programming languages and has a dual-layer structure prompt design framework that is easy to learn and apply. LangGPT supports flexible customization through built-in and extended modules to adapt to different application scenarios. LangGPT has established an online community to promote the exchange and sharing of prompt designs, improving the practicality and ease of use of the framework.
The main functions of LangGPT
- Systematic template: LangGPT provides a wealth of templates, and users can quickly write prompt words based on the templates.
- flexibility: By using variables, users can easily reference, set and change the content in the prompt word.
- Interaction friendliness: LangGPT’s workflow design makes user interaction simple and easy to guide users to use.
- Modular configuration: LangGPT makes full use of the capabilities of large language models to cope with complex prompting requirements through modular configuration.
- Reminder function: Effectively alleviate the problem of long-term memory loss and maintain the continuity of conversations.
Technical principles of LangGPT
- Two-layer prompt design framework：LangGPT adopts a two-layer structure, similar to the class and object structure in programming languages.
- Built-in module: Defines a set of preset modules, such as Role, Goal, Constraint, etc. The module contains the necessary internal elements of the prompt word.
- Extension modules: Support users to add new modules according to specific needs, improving the flexibility and scalability of the framework.
- Modular configuration：Prompt words are broken down into modules, each of which represents a different aspect of interacting with the larger language model.Users can select and combine different modules as needed to build prompt words suitable for specific tasks.
- Structure and standardization：LangGPT emphasizes the structuring and standardization of prompt words to make prompt words clearer, easier to understand and reuse.Provides clear templates and formats, reducing learning costs.
- Combination of natural language and programming language：The design is inspired by the structural properties of programming languages while retaining the flexibility of natural languages. Construct prompt words by analogy with elements of programming languages, such as variables, functions, classes, etc.
How to use LangGPT
Using LangGPT to write high-quality prompts (Prompt) can be roughly divided into the following steps:
- Understand the core concepts of LangGPT：
- template: LangGPT provides a series of templates, such as role templates, to guide users on how to construct prompt words.
- variable: Use specific tags (such as “
”) to represent the dynamic content in the prompt word. - Workflow: Define the steps and processes for interacting with users.
- Choose the right template: Choose an appropriate template based on the role you want your large language model (LLM) to play or the task you want it to accomplish. For example, if you want your model to play a poet, choose a template specifically designed for the poet character.
- Fill in the template content: Fill in the necessary information according to the structure of the template. Including role description, skills, rules, workflow, etc.
- use variables: Use variables in templates to represent parts that can change, such as user input or specific attributes of a role.
- Define workflow: Design the workflow for character interaction with users, including how the character receives user input, how to respond, etc.
- Initialize role: If necessary, you can write an initialization behavior for the character, which is the step that is performed before the character starts interacting with the user.
- Test and adjust: Input the written prompt words into the large language model for testing. Adjust and optimize prompt words based on the model’s output.
- Using LangGPT Assistant: Use LangGPT assistant to help design and optimize prompt words. The assistant can generate corresponding prompt word templates according to the user’s needs.
LangGPT product pricing
- The project is currently open source for free on Github and has become one of the top ten projects in the global trend list of the GitHub open source community.
Application scenarios of LangGPT
- content creation: Assist writers and marketers to generate article outlines, advertising copy, etc.
- Code writing: Help programmers generate code snippets and solve programming problems.
- data analysis: Assist data analysts to construct data query statements and interpret analysis results.
- Educational Counseling: Provide personalized learning materials and exercises for teachers and students.
- customer service: Build an intelligent customer service system to improve customer service quality.
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