AI Terms Every Beginner Should Know
Confused by AI buzzwords? Let’s break down the must-know AI terms in simple language.
Why Learn AI Terms?
AI is shaping our world — from Netflix to ChatGPT. Knowing key terms helps you understand and use this technology confidently.
Artificial Intelligence (AI)
Machines that mimic human intelligence — learning, reasoning, and problem-solving.
Machine Learning (ML)
A part of AI where machines learn from data — like your spam filter improving over time.
Deep Learning
Uses neural networks to act like the human brain — powering voice assistants & face ID.
Neural Networks
Algorithms that recognize patterns, inspired by how our brain works.
Natural Language Processing
Helps machines understand and talk in human language — like ChatGPT!
Algorithm & Dataset
Algorithms = instructions for AI.
Dataset = data that trains the model.
Supervised vs Unsupervised Learning
Supervised: learns from labeled data.
Unsupervised: finds hidden patterns.
Reinforcement Learning
AI learns through trial & error — rewarded for right moves, corrected for wrong.
Bias & Overfitting
Bias: unfair training data.
Overfitting: learns too much noise.
Computer Vision
AI that understands images & videos — like face unlock or traffic cameras.
Generative AI
AI that
creates
new content — text, images, music. Tools like ChatGPT & DALL·E use it.
LLM (Large Language Models)
Massive AI models trained on huge data — powering advanced chatbots like ChatGPT.
Quick Recap
You learned the basics: AI, ML, NLP, Deep Learning & more.
You’re now ready to explore AI confidently!
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