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Prompt Engineering
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Last update : 23/08/2024

🚀 Supercharge Your AI Apps with Prompt Caching! 💡

Why This Matters:

Ever wish your AI apps were faster and cheaper to run? 🤔 Prompt caching is the secret weapon you’ve been waiting for!

💰 Slashing Costs, Boosting Speed:

  • Cache like a pro: Store frequently used prompts and data (think chat history, codebases, or even whole books! 📚).
  • Pay less, get more: Reduce API costs by a whopping 90% – that’s like getting a discount on top of a discount! 🎉
  • Lightning-fast responses: Enjoy up to 85% faster response times – your AI will feel like it’s on a caffeine rush! ⚡

🧰 Prompt Caching in Action:

  • Chatbots that remember: Build bots that recall past conversations and provide personalized responses. 🤖
  • Coding wizards: Give your coding assistant access to massive codebases without breaking the bank. 💻
  • Document whisperers: Unlock insights from books, research papers, and other lengthy content with ease. 📑

🚀 Tips for Prompt Caching Mastery:

  • Prioritize stable content: Cache system instructions, background info, and reusable components.
  • Strategic placement is key: Put cached content at the beginning of your prompts for optimal performance.
  • Keep it fresh: Regularly analyze cache hit rates and adjust your strategy as needed.

🤖 Prompt Caching vs. RAG: A Powerful Combo!

  • Prompt caching is awesome, but it’s not a RAG replacement (yet!).
  • Use RAG for huge knowledge bases and retrieval tasks.
  • Combine RAG with long context models and prompt caching for a supercharged AI experience! 🚀

🧰 Toolbox for AI Enthusiasts:

  • Anthropic’s Prompt Caching: https://www.anthropic.com/news/prompt-caching – Dive deep into the tech behind Anthropic’s prompt caching.
  • Anthropic API Docs: https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching#caching-tool-definitions – Get your hands dirty with code examples and implementation details.
  • Google Gemini Context Cache: https://ai.google.dev/gemini-api/docs/caching?lang=python – Explore Google’s approach to context caching with Gemini models.
  • Prompt Engineering Cookbook: https://github.com/anthropics/anthropic-cookbook/blob/main/misc/prompt_caching.ipynb – Find practical code examples and experiment with prompt caching techniques.
  • RAG Beyond Basics Course: https://prompt-s-site.thinkific.com/courses/rag – Master the art of Retrieval-Augmented Generation and build next-level AI applications.

🤔 Ready to Experiment?

Try caching a short story and ask your AI to summarize it or answer questions about the plot. You’ll be amazed by the speed and cost savings!

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