AI for Beginners : Embeddings & Vector Databases (How AI Understands Meaning) скачать в хорошем качестве

AI for Beginners : Embeddings & Vector Databases (How AI Understands Meaning)

This is where AI stops matching words and starts understanding meaning. In this video, we explore: What are embeddings in AI What is a vector database How semantic search works Semantic search vs keyword search Examples of vector databases This concept quietly powers: Search Recommendations RAG systems Memory in AI applications If embeddings feel intimidating today, this video will make them feel obvious. You don’t need linear algebra to follow along — just curiosity. Videos in this series: 1. AI, ML, DL, GenAI & the History Behind It :    • AI for Beginners : AI, ML, DL, GenAI & the...   2. What Are AI Models? The One Concept Everything Builds On :    • AI for Beginners : What Are AI Models? The...   3. LLMs & Transformers Explained (Without the Hype) :    • AI for Beginners : LLMs & Transformers Exp...   4. Embeddings & Vector Databases (How AI Understands Meaning) :    • AI for Beginners : Embeddings & Vector Dat...   👍 Like if embeddings finally clicked 💬 Comment “RAG” if you want the next video sooner 🔔 Subscribe to continue learning along with me #llm #genai #coding #generativeai #machinelearning #aiagents #ai #aivideo