In this updated blog post, we'll explore practical, programmatic implementations of priming techniques using Claude. We'll provide Python code examples for each technique and then combine them in a real-world application.
1. One-Shot Learning: Sentiment Analysis
Let's implement one-shot learning for sentiment analysis using Claude. This function uses one example to prime Claude for sentiment analysis, then analyzes the given text.
2. Multi-Shot Learning: Customer Inquiry Classification
This function uses multiple examples to prime Claude for inquiry classification, improving its performance on various types of customer inquiries.
3. Zero-Shot Learning: News Article Classification
This function uses category descriptions to prime Claude for zero-shot classification of news articles.
4. Chain of Thought: Solving Complex Business Problems
This function encourages Claude to break down complex problems into steps, showing the chain of thought in problem-solving.
5. Combining Techniques: Customer Support Pipeline
The comprehensive example demonstrates how to combine all four priming techniques in a real-world customer support application. It classifies the query, analyzes sentiment, generates an appropriate response, and provides a detailed solution for complex queries.
Conclusion
These programmatic examples showcase how to implement various priming techniques with Claude in real-world scenarios. By leveraging these techniques, developers can create sophisticated AI-powered applications that adapt to different tasks and provide context-aware responses.