Hey there! Welcome to our YouTube deep-dive into semantic caching. Looking to save on your OpenAI API costs and speed up your AI app? You're in the right spot!
We kick off by showing how semantic caching, our high-speed data storage hero, outshines traditional caching in AI applications. Then, we get hands-on, building a web application with Streamlit to populate a cache and visualize results.
We put semantic caching to the test, asking AI-related questions and ranking cache elements. Up next, we explore the GPTCache code and the CacheEvaluator class, demystifying cache initialization, management, and query computation.
By the end, you'll be ready to leverage Semantic Caching in your projects. So, buckle up and let's dive in! Keywords: Semantic caching, OpenAI API, AI app performance, GPTCache, CacheEvaluator class, Streamlit web application.
🚀🚀🚀 Make your AI applications faster and more cost-effective.
The code for the web application demo is available on GitHub here: https://github.com/bitswired/semantic...
For more such insightful content, check out my video on transforming any website into a powerful chatbot with OpenAI and LangChain:
• 🧠 Turn Websites into Powerful Chatbot...
Remember to subscribe to stay updated with more programming hacks, AI tips, and tricks.
🌐 Visit my blog at: https://www.bitswired.com
📩 Subscribe to the newsletter: https://newsletter.bitswired.com/
🔗 Socials:
LinkedIn: / jimi-vaubien
Twitter: / bitswired
Instagram: / bitswired
TikTok: / bitswired
00:00 Intro
00:27 What Is Caching?
00:42 Semantic Caching
02:22 Web Application: Tune Semantic Caching
03:42 Code Walkthrough