With the rapid development of artificial intelligence today, Tutorial on developing AI applications on low-code platforms has become a shortcut for many people with non-technical backgrounds to enter the field of AI. Through the drag-and-drop interface and preset components, even without programming experience, you can quickly build intelligent applications with natural language processing, image recognition and other capabilities. This article will help you start from scratch, master the core steps of developing AI applications using low-code platforms, and share SEO optimization techniques.
1. Why choose a low-code platform to develop AI applications?
Traditional AI development requires mastering complex technology stacks such as Python and TensorFlow, and the learning curve is steep. Low-code platforms (such as Baidu Smart Cloud EasyDL and Alibaba Cloud PAI) encapsulate the underlying algorithms and provide visual workflows, allowing developers to only focus on business logic. For example, in Low-code AI application development, you can automatically train a high-precision model by uploading a small amount of data and quickly deploy it to the web or mobile terminal.
1.1 Applicable scenarios
- Intelligent customer service: automatically answer frequently asked questions
- Image Classification: Identifying Product Defects
- Text analysis: sentiment analysis, keyword extraction
1.2 Core Advantages
| Features | Traditional development | Low-code platform |
|---|---|---|
| Development cycle | A few weeks to a few months | A few days to a few weeks |
| Technical threshold | Programming basics required | Zero code or a small amount of code |
| Model tuning | Manual parameter tuning | Automatic hyperparameter search |
| Deployment cost | Requires server operation and maintenance | One-click deployment to the cloud |
2. Tutorial on developing AI applications on low-code platform: four steps
This tutorial takes Baidu EasyDL as an example to demonstrate how to build an image classification application. Refer to the official documentation: EasyDL Getting Started Guide.
2.1 Prepare data
Collect at least 20 pictures, divided into two categories: “cat” and “dog”, 10 pictures in each category. After uploading to the platform, the system will automatically mark it.
2.2 Training model
Select the “Image Classification” task and configure training parameters (such as the number of iterations). Click “Start Training” and wait 10-30 minutes. The platform will output indicators such as precision rate and recall rate.
2.3 Deployment model
After training is completed, click “Publish” to obtain the API interface. In the low-code application editor, drag in the “Image Upload” component and “AI Inference” component and bind the API.
2.4 Testing and Optimization
Upload a new image to view the recognition results. If the accuracy is insufficient, more training data can be added or the model structure can be adjusted.
3. Advanced skills: Combining RPA to achieve automation
Combining low-code AI applications with RPA (robotic process automation) can enable more complex business processes. For example, AI is used to identify invoice information, and then RPA is used to automatically enter it into the financial system. Recommended reading: Guangzhou Juzhao RPA solution.
3.1 Frequently Asked Questions (FAQ)
Q1: How much does it cost to develop AI applications on a low-code platform?
Answer: Most platforms provide free quota. For example, EasyDL has 500 free calls per month. The paid version is billed based on the number of calls, usually a few yuan per thousand times.
Q2: Can I export the model locally?
Answer: Some platforms support exporting to ONNX or TensorFlow format, but certain programming skills are required for secondary development.
Q3: How safe are low-code AI applications?
Answer: Enterprise-level platforms provide data encryption and access control, but sensitive data is recommended to be deployed privately.
4. Summary
Through this Tutorial on developing AI applications on a low-code platform, you have learned the entire process from data preparation to deployment. Low-code lowers the threshold for AI development and allows business personnel to innovate quickly. If you need more complex customized development, please contact Guangzhou Juzhao. We provide professional AI consulting and implementation services. Start your first low-code AI application now!
