Steps | Before | After | Save time |
---|---|---|---|
Developing Frontend & Backend for Applications | Integrating and encapsulating LLM capabilities requires a lot of time to develop front-end applications. | Directly use Dify’ backend services to develop based on a WebApp scaffold. | -80% |
Prompt Engineering | Can only be done by calling APIs or Playground. | Debug based on the user’s input data. | -25% |
Data Preparation and Embedding | Writing code to implement long text data processing and embedding. | Upload text or bind data sources to the platform. | -80% |
Application Logging and Analysis | Writing code to record logs and accessing databases to view them. | The platform provides real-time logging and analysis. | -70% |
Data Analysis and Fine-Tuning | Technical personnel manage data and create fine-tuning queues. | Non-technical personnel can collaborate and adjust the model visually. | -60% |
AI Plugin Development and Integration | Writing code to create and integrate AI plugins. | The platform provides visual tools for creating and integrating plugins. | -50% |