Terminology

Generative AI (GenAI): AI systems designed to create entirely new content (like text, images, or code) based on simple instructions or prompts.
LLM (Large Language Model): Massive AI models trained on vast amounts of text to understand, summarize, and generate human language.
AGI (Artificial General Intelligence): A theoretical, future AI that can match or exceed human intelligence across a wide variety of economically valuable tasks.
Machine Learning (ML): The foundation of AI where computers learn from data and improve over time without being explicitly programmed.

Prompt / Prompt Engineering: A prompt is the text instruction you give to an AI. Prompt engineering is the highly sought-after (and sometimes buzzy) skill of writing the perfect instructions to get the exact output you want.
AI Agent: Advanced AI that doesn’t just respond to text but can take action, make decisions, and use tools to achieve specific goals.
RAG (Retrieval-Augmented Generation): A technique where AI pulls specific information from an external database or document to provide more accurate and up-to-date answers.
Hallucination: A frustrating issue where an AI confidently invents false or completely made-up information while acting like it is fact.

AI Washing: The deceptive marketing practice of companies claiming their products are “AI-powered” when they are just traditional software.
RLHF (Reinforcement Learning from Human Feedback): A training method where human trainers grade and fine-tune AI responses to make them more helpful, harmless, and accurate.
Explainable AI (XAI): Systems designed so that humans can understand how or why the AI reached a specific decision or recommendation.