The technical challenge
Education scenarios need to simultaneously handle complex requirements such as graphic Q&A and test paper parsing, which are difficult to meet with traditional single-model solutions, Portkey's multimodal gateway provides a complete solution.
Operation Guide
- Model Configuration
Add multimodal model support (e.g., GPT-4V) to Gateway to test basic features such as image description/solution step generation - code integration
When uploading files using the Python SDK, you need to convert the image to base64 encoding or pass the file path directly:response = client.chat.completions.create(
messages=[{...}],
model="gpt-4-vision-preview",
max_tokens=300
) - Performance Tuning
For question bank type applications, turning on smart caching reduces the 80% duplicate image parsing overhead
Security recommendations
Filter sensitive image content with Input/Output Validation feature to meet data compliance requirements in the education industry.
This answer comes from the articlePortkey: a development tool for connecting multiple AI models and managing applicationsThe
May not be reproduced without permission:AI productivity tools " How to achieve stable invocation of multimodal AI (text + image) in educational applications?
