AI Glossary

A Large Language Model (LLM) is an AI system trained on vast amounts of text data to understand and generate human-like language. Examples include GPT-4, Claude, and Gemini.

Prompt engineering is the practice of crafting effective instructions to get the best results from AI models. It involves structuring your requests clearly and providing the right context.

Artificial Intelligence (AI) is software that can learn from examples, understand language, and help you complete tasks faster. Unlike traditional software that follows fixed rules, AI adapts and improves based on the data it processes.

Narrow AI (also called Weak AI) is AI designed for specific tasks. It excels at one thing—like language, images, or navigation—but can't do everything a human can do. This is the only type of AI that exists today.

Machine learning is the technique that makes AI work. It's how AI systems learn patterns from data and improve over time. Think of it as the engine inside the car—essential, but you don't need to understand it to drive.

ChatGPT is an AI chatbot developed by OpenAI that uses large language models to conduct conversations, answer questions, and assist with various tasks.

Claude is an AI assistant developed by Anthropic, known for its helpfulness, honesty, and ability to handle long conversations with detailed, nuanced responses.

Gemini is Google's AI assistant, designed to help with research, writing, and tasks that benefit from integration with Google's ecosystem. It connects seamlessly with Google Workspace tools like Docs, Sheets, and Gmail.

Retrieval-Augmented Generation (RAG) is a technique that combines AI language models with external knowledge sources, allowing the AI to access up-to-date or private information beyond its training data.

General AI (also called AGI or Strong AI) is a hypothetical future AI that could perform any intellectual task a human can do. It would reason, learn, and adapt across any domain—not just one specific task.