Making Long Context LLMs Usable with Context Caching

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​ 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
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Notebook: https://tinyurl.com/2et8spkf
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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: https://www.youtube.com/playlist?list=PLVEEucA9MYhOu89CX8H3MBZqayTbcCTMr

Everything LLM: https://youtube.com/playlist?list=PLVEEucA9MYhNF5-zeb4Iw2Nl1OKTH-Txw

Everything Midjourney: https://youtube.com/playlist?list=PLVEEucA9MYhMdrdHZtFeEebl20LPkaSmw

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