AI Basics
🚀 AI Basics: Let’s Start Simple
Starting a journey into the world of AI? Here’s a quick, no-jargon intro to the fundamentals:
Before we deep dive into advanced concepts, it’s important to build a strong foundation by understanding the basics clearly.
Artificial Intelligence (AI): The science of making computers behave like humans., thinking, reasoning, learning, and problem-solving.
Machine Learning (ML): A subset of AI where machines learn from data, not hard-coded rules. Think of it as teaching by showing examples rather than telling what to do.
Deep Learning (DL): A powerful kind of ML using layered neural networks to understand very complex patterns like recognizing faces in images or transcribing speech.
Natural Language Processing (NLP): Tech that helps computers understand and respond in human language. It’s what powers chatbots, language translation, and voice assistants.
Generative AI: AI that creates from writing stories and generating code to producing images and composing music. It learns patterns from massive datasets and uses them to build new content.
This is just the beginning. Follow along for more AI basics in bite-sized posts!