Skip to content
Navigation
Dashboard
🎬Video•25 min

Classification & Categorization

Use LLMs for text classification and categorization tasks.

Classification with LLMs

Advantages of LLM Classification

  • Zero-shot capability
  • Flexible categories
  • No training data needed
  • Explanations available

    • Classification Patterns

    1. Simple Classification "Classify this email as: spam, important, newsletter, personal"

    2. Multi-Label "List all applicable tags: [list of options]"

    3. Hierarchical "First classify the category, then the subcategory"

    4. With Confidence "Classify and rate your confidence (1-10)"

    Prompt Templates

    Zero-shot: "Classify the following text into one of these categories: [categories] Text: [text] Category:"

    Few-shot: "Examples: Text: 'Great product!' → Positive Text: 'Terrible service' → Negative Text: [new text] →"

    Best Practices

  • Define categories clearly
  • Handle ambiguous cases
  • Provide examples for edge cases
  • Validate with labeled data

    • 🎯 Key Takeaways

    • ✓LLMs can classify without training data
    • ✓Provide clear category definitions
    • ✓Use few-shot for complex classifications
    • ✓Validate against known labels

    📚 Additional Resources

    Previous
    Question-Answering Systems
    Next
    Content Moderation