AI Agent Glossary
Master the language of artificial intelligence. Explore key concepts, techniques, and technologies powering the next generation of software.
AI Agent
An autonomous software program capable of perceiving its environment, reasoning, and taking actions to achieve specific goals with minimal human intervention.
Large Language Model (LLM)
A deep learning algorithm that can recognize, summarize, translate, predict, and generate text and other content based on knowledge gained from massive datasets.
Retrieval-Augmented Generation (RAG)
A technique that enhances the accuracy and reliability of generative AI models with facts fetched from external sources.
Prompt Engineering
The practice of designing inputs for AI models to produce optimal outputs.
Hallucination
A phenomenon where an AI model generates incorrect or nonsensical information but presents it confidently as fact.
Vector Database
A type of database designed to store and query high-dimensional vectors (embeddings) for similarity search.
Embedding
A numerical representation of text, images, or audio as a vector in a high-dimensional space.
Fine-tuning
The process of training a pre-trained model on a smaller, specific dataset to adapt it for a particular task.
Chatbot
A software application designed to simulate conversation with human users, especially over the Internet.
Zero-shot Learning
The ability of a model to perform a task without having seen any specific examples of that task during training.