Learn Semantic Caching for AI Agents with Redis | Andrew Ng posted on the topic | LinkedIn
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Unleashing faster & smarter AI apps with semantic caching. 🚀 In the quest for high-performing generative AI applications, speed and accuracy are paramount. Semantic caching understands the meaning behind user queries, allowing systems to retrieve information based on intent, not just literal matches. It’s a game-changing approach that supercharges data retrieval, making your apps lightning-fast while ensuring responses are contextually relevant. 💯 https://go.aws/4dtjiGM | Amazon Web Services
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Semantic Scholar | Semantic Reader
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semanticscholar.org
🚀 New Course: Semantic Caching for AI Agents Taught by Tyler Hutcherson and Iliya Zhechev from Redis. AI agents often make redundant API calls for questions that mean the same thing. Semantic caching helps your agents recognize when different queries share the same meaning, reducing costs and speeding up responses. In this course, you'll: - Build a semantic cache that reuses responses based on meaning, not exact text matches - Measure cache performance using hit rate, precision, and latency met
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