Making Long Context LLMs Usable with Context Caching скачать в хорошем качестве

Making Long Context LLMs Usable with Context Caching

Google's Gemini API now supports context caching, aimed at addressing limitations of long context LLMs by reducing processing time and costs. This video explains how to use the caching feature, its impact on performance, and implementation details with examples. LINKS: Context Caching: https://tinyurl.com/4263z4da Vertex AI: https://tinyurl.com/yex8ua5h Notebook: https://tinyurl.com/2et8spkf Pricing: https://ai.google.dev/pricing 💻 RAG Beyond Basics Course: https://prompt-s-site.thinkific.com/c... Let's Connect: 🦾 Discord:   / discord   ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon:   / promptengineering   💼Consulting: https://calendly.com/engineerprompt/c... 📧 Business Contact: [email protected] Become Member: http://tinyurl.com/y5h28s6h 💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off). Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 TIMESTAMPS 00:00 Introduction to Google's Context Caching 00:48 How Context Caching Works 01:00 Setting Up Your Cache 03:07 Cost and Storage Considerations 04:46 Example Implementation 08:57 Creating and Using the Cache 11:06 Managing Cache Metadata 12:53 Conclusion and Future Prospects All Interesting Videos: Everything LangChain:    • LangChain   Everything LLM:    • Large Language Models   Everything Midjourney:    • MidJourney Tutorials   AI Image Generation:    • AI Image Generation Tutorials