AI Glossary

Useful AI Terms for Beginners

AI Glossary for Beginners

Agent A software entity that can perform tasks autonomously or semi-autonomously, often leveraging AI models to make decisions, interact with users, and execute commands within a system.

Artificial Intelligence (AI) The field of computer science that focuses on creating systems capable of performing tasks that typically require human intelligence, such as reasoning, learning, and problem-solving.

Embeddings Mathematical representations of words, phrases, or other data in a high-dimensional space that allow AI models to understand relationships and similarities between them.

Fine-Tuning The process of training a pre-existing AI model on a smaller, specialized dataset to adapt it to specific tasks or industries.

Generative AI A type of AI that can create new content, such as text, images, music, or code, based on the data it has been trained on.

Inference The process of an AI model making predictions or generating outputs based on input data, without retraining.

Large Language Model (LLM) A powerful AI model trained on vast amounts of text data to understand and generate human-like text, enabling applications like chatbots, summarization, and content creation.

Machine Learning (ML) A subset of AI that involves training algorithms on data to enable them to recognize patterns and make decisions without explicit programming.

Neural Network A computational model inspired by the human brain, consisting of layers of interconnected nodes (neurons) that process and transform data to make predictions.

Natural Language Processing (NLP) A field of AI focused on enabling computers to understand, interpret, and generate human language.

Prompt Engineering The practice of designing and refining input prompts to optimize the performance and responses of AI models.

Reinforcement Learning (RL) A machine learning approach where an agent learns to make decisions by interacting with an environment and receiving rewards or penalties based on its actions.

Token A unit of text that AI models process, which can be a word, part of a word, or even a character, depending on the model.

Transformer A deep learning architecture that enables AI models to process sequences of data efficiently, widely used in NLP tasks like machine translation and text generation.

Vector Database A specialized database designed to store and retrieve high-dimensional vectors, commonly used for search and similarity tasks in AI applications.

This glossary will continuously expand