How Does AI See Text and Images? | Unleash the Power of Vectors!

How Does AI See Text and Images? | Unleash the Power of Vectors!
Have you ever wondered how an AI or Machine Learning model processes the complex world of human language, text, and images? The secret lies in Vectors!

A computer cannot understand a word like "dog" or an image of a sunset until that data is converted into a numerical format it can handle. This numerical format is called a Vector, and mastering this concept is essential for anyone interested in Deep Learning and AI.

In this video, we break down the power and mechanics of AI Vectors in a simple, easy-to-understand way for everyone.

What You Will Discover:
Vector Definition: What exactly is a Vector, and why is it the fundamental building block for all AI/ML models?

Data Representation: How computers convert all forms of data—including words, sentences, and images—into a mathematical sequence of numbers (Vectors).

The Magic of Embeddings: Understanding concepts like Word Embeddings (e.g., Word2Vec) and Image Embeddings using simple, real-world analogies.

Measuring Similarity: Learn how AI models make decisions, recommendations, and predictions by calculating the distance or similarity between different Vectors.

Real-World Applications: The vital role Vectors play in modern search engines, recommendation systems (like Netflix), and large language models (LLMs).