Vector Embeddings and Tokens

In this video, we’ll break down the concept of embeddings in a very simple and beginner-friendly way. What’s Covered? ▶️ What Are Embeddings? Understand the basic idea of embeddings — converting data into numerical vectors so machines can understand relationships. ▶️ Real-Life Examples: We’ll use simple examples like laptop, cat, dog, etc., to explain how embeddings represent meaning. ▶️ Text → Tokens → Embeddings: Learn how text is tokenized first, and then each token is transformed into an embedding vector. ▶️ OpenAI Tokenization (Practical View): See how OpenAI’s tokenization process works in practice — how a simple text input is split into tokens. ▶️ Embedding Vector Dimensions: Understand what embedding dimensions are and why different models produce vectors of different lengths. ▶️ OpenAI Embeddings API Example: Finally, we’ll hit the OpenAI Embeddings API using a REST client and check the actual embeddings response. By the end of this video, you’ll clearly understand embeddings, tokenization, vector dimensions, and how to generate embeddings using the OpenAI API — explained in a simple and practical way. Check out our courses: Master Spring Boot & Spring AI: Live Course : https://go.telusko.com/master-spring-ai Coupon: TELUSKO10 (10% Discount) AI-Powered DevOps with AWS Live Course V2: https://go.telusko.com/ai-devops-v2 Coupon: TELUSKO20 (20% Discount) Master Java Spring Development : https://go.telusko.com/masterjava Coupon: TELUSKO20 (20% Discount) For More Queries WhatsApp or Call on : +919008963671 website : https://courses.telusko.com/ Instagram : https://www.instagram.com/navinreddyofficial/ Linkedin : https://in.linkedin.com/in/navinreddy20 TELUSKO Android App : https://go.telusko.com/TELUSKOAPP TELUSKO IOS App : https://apple.co/3SsgmU2 Discord : https://discord.gg/D8hWe9BqfF