Breaking through technology barriers with Wordware's natural language and low-code capabilities
For users with no programming background, traditional AI development requires learning programming languages such as Python and mastering machine learning frameworks, which constitutes a high technical threshold.Wordware solves this problem in the following two core ways:
- natural language programming: Enter the English requirement description (e.g. 'Create an AI that automatically replies to customer emails') directly into the editor, and the system will automatically parse the requirement and generate the corresponding workflow without having to write any code manually.
- Visualize low-code editing: Using a modular editor similar to Notion, the application is built by dragging and dropping pre-built components (input boxes/output templates/model selectors, etc.), with all the technical details hidden behind an intuitive interface
Specific steps::
1. Register and select 'Blank Project'.
2. Natural language declaration of core functionality in the description box
3. Adding data input/processing/output modules through the left component library
4. Selection of preset models such as GPT-4 in the model selector drop-down menu
5. Click 'Run' in the upper right corner to test the effect in real time.
Advanced users can also realize finer control by adjusting module parameters, and the whole process does not need to touch the underlying code. This 'description-as-development' model dramatically lowers the technical threshold for building AI applications.
This answer comes from the articleWordware: building AI applications using natural language modularityThe
