AI Glossary Key Terms Explained From LLMs to Hallucinations
A comprehensive guide to understanding common AI terminology from large language models to hallucinations and everything in between.
Artificial intelligence is a complex field filled with technical jargon. To help demystify the terminology, we've compiled a glossary of essential AI terms used in industry coverage. This guide will be regularly updated as AI research evolves.
AGI (Artificial General Intelligence)
AGI refers to AI that outperforms humans in most cognitive tasks. Definitions vary: OpenAI's Sam Altman describes it as a "median human co-worker," while Google DeepMind sees it as AI matching human capabilities. Experts still debate its exact meaning. Learn more about AGI confusion.
AI Agent
An AI agent performs multi-step tasks autonomously, like booking tickets or managing expenses. While promising, infrastructure is still developing. More on AI agents.
Chain of Thought
This reasoning method breaks problems into smaller steps for more accurate results, especially in logic or coding contexts.
Deep Learning
A machine learning subset using multi-layered neural networks to identify complex patterns. Requires massive datasets but delivers superior performance.
Diffusion
The technology behind many generative AI models, inspired by physics. Systems learn to reconstruct data from noise.
Distillation
A technique to create smaller, efficient models by mimicking larger "teacher" models. Used in developing GPT-4 Turbo. Microsoft's investigation into improper use.
Fine-Tuning
Specializing pre-trained models for specific tasks by adding domain-specific data.
GAN (Generative Adversarial Network)
A framework where two neural networks compete to generate realistic outputs, used in deepfake technology.
Hallucination
AI's tendency to fabricate information - a major quality challenge. Results from training data gaps and contributes to specialized AI development.
Inference
The process of using a trained AI model to make predictions. Requires appropriate hardware for optimal performance.
Large Language Model (LLM)
The foundation of AI assistants like ChatGPT and Gemini. These neural networks with billions of parameters learn language patterns from vast text datasets.
Neural Network
The interconnected algorithmic structure inspired by human brains that powers modern AI.
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About the Author
Alex Thompson
AI Technology Editor
Senior technology editor specializing in AI and machine learning content creation for 8 years. Former technical editor at AI Magazine, now provides technical documentation and content strategy services for multiple AI companies. Excels at transforming complex AI technical concepts into accessible content.