Master the language of Generative AI with clear definitions, practical examples, and relatable analogies.
Start with foundational AI terminology including Artificial Intelligence, Machine Learning, Deep Learning, and Neural Networks.
Understand how Large Language Models work with terms like Tokenization, Vectors, Attention, and Transformers.
Discover methods to improve AI performance including Fine-Tuning, RAG, Prompt Engineering, and more.
Dive into cutting-edge concepts like Agents, Multimodal Models, Reasoning, and Reinforcement Learning.
Begin with Core AI concepts before moving to specialized terminology. Understanding the foundation makes advanced concepts easier.
Each term includes real-world analogies. These comparisons help bridge the gap between complex concepts and everyday understanding.
Notice how terms relate to each other. For example, Transformers use Attention, which processes Vectors from Tokens.
Use the search feature to quiz yourself. Try explaining terms to others to reinforce your understanding.