Unlocking Multimodal AI: Vision Capabilities Explained

Vision-enabled LLMs open up entirely new application categories. Here's how to make the most of them.

Supported Models

Currently, these models support vision on Infiner:

• GPT-4 Turbo
• GPT-4o
• Claude 3.5 Sonnet
• Gemini 1.5 Pro

Use Cases

Document Processing

Extract structured data from:

• Invoices and receipts
• Forms and applications
• Handwritten notes

Image Analysis

• Product defect detection
• Medical image analysis
• Real estate photo evaluation

UI/UX Analysis

• Analyze screenshots for accessibility issues
• Generate code from design mockups
• Compare design implementations

Implementation

Basic vision request:

const response = await infiner.chat.completions.create({
  model: "gpt-4o",
  messages: [{
    role: "user",
    content: [
      { type: "text", text: "What's in this image?" },
      { type: "image_url", image_url: { url: "data:image/jpeg;base64,..." } }
    ]
  }]
});

Best Practices

1. Resize images to reduce costs (max 2048px recommended)
2. Use specific prompts for better accuracy
3. Combine with text context when available
4. Handle errors gracefully for unclear images

Conclusion

Vision capabilities transform what's possible with AI. Start experimenting today with our interactive playground.