Anthropic Claude Prompt Caching - A Game Changer for Cost and Latency Reduction

Learn how to significantly reduce costs and improve response times when using large language models through prompt caching in Claude. This 10-minute tutorial video guides you through the process of implementing prompt caching, potentially lowering expenses by up to 90% and enhancing response speed by 85%. Explore practical examples using a Pride and Prejudice book, legal terms, and multi-turn conversations. Compare the benefits of Claude's caching to Google Gemini's, and understand when to use each based on your specific needs. Gain valuable insights into optimizing your work with language models, whether you're dealing with multiple large documents, conversational agents, or complex coding assistants.

- Introduction to Prompt Caching
- How Prompt Caching Works and Its Benefits
- Implementing Prompt Caching in Claude: Step-by-Step
- Example 1: Caching a Large Book
- Example 2: Caching Legal Terms
- Example 3: Multi-Turn Conversation Caching
- Claude vs. Google Gemini: Cost and Efficiency Comparison