Action Model
An internal model used by AI agents to predict the potential outcomes of their actions in specific states.
A comprehensive guide to AI terminology and concepts. Explore 52 essential terms to enhance your understanding of artificial intelligence.
8 terms
An internal model used by AI agents to predict the potential outcomes of their actions in specific states.
An AI system capable of taking actions autonomously to achieve specific goals in an environment.
The organizational structure and interaction patterns of internal components within an AI agent, such as perception, decision-making, and action modules.
A set of rules or instructions designed to solve a specific problem or perform a task.
A hypothetical type of AI that matches or exceeds human cognitive abilities across all domains.
The simulation of human intelligence in machines programmed to think and learn like humans.
An AI system that operates independently without human intervention to achieve specific objectives.
A type of model that predicts the next element in a sequence based on previous elements.
2 terms
Bidirectional Encoder Representations from Transformers - a pre-trained language model.
An automated software application designed to perform specific tasks or simulate conversations.
5 terms
An AI system designed to simulate conversation with human users through text or voice.
AI systems that simulate human thought processes, emphasizing learning, reasoning, and natural interaction.
AI technology that enables machines to interpret and understand visual information from images and videos.
The maximum amount of text that an AI model can process and remember in a single interaction.
Technology that enables computers to interact with humans through natural language (speech or text).
1 term
A subset of machine learning using neural networks with multiple layers to learn complex patterns.
2 terms
A numerical representation of data that captures semantic meaning in a high-dimensional vector space.
AI systems that can explain their decision-making processes and reasoning to human users.
2 terms
The ability of AI models to learn new tasks with only a small number of training examples.
Large-scale AI models trained on diverse data that serve as the basis for various downstream applications.
2 terms
AI systems capable of creating new content such as text, images, audio, or code based on learned patterns.
A family of language models that generate human-like text using transformer architecture.
3 terms
When an AI model generates false or misleading information that appears plausible but is factually incorrect.
The study and design of interfaces and interactions between humans and AI agents.
A system design pattern that combines human intelligence with AI intelligence, particularly for critical decisions or ambiguous situations.
1 term
The ability of AI systems to understand and classify the purpose or goal behind user inputs.
1 term
A structured repository of information that AI systems can access to provide accurate and relevant responses.
3 terms
An open-source framework for developing applications powered by large language models (LLMs).
AI models with billions of parameters trained on vast text datasets to understand and generate human language.
A data framework for connecting custom data to large language model (LLM) applications.
4 terms
A subset of AI that enables systems to learn and improve automatically from experience without explicit programming.
The ability of AI agents to store and retrieve past experiences, knowledge, and conversation history to guide future actions.
A system composed of multiple AI agents that interact and collaborate to solve complex problems.
AI systems capable of processing and correlating multiple types of data such as text, images, and audio.
2 terms
AI technology that enables machines to understand, interpret, and generate human language.
A computing system inspired by biological neural networks that learns to perform tasks by analyzing examples.
1 term
The process of managing and coordinating multiple AI agents or AI services to work together to complete complex tasks.
2 terms
Software modules that allow AI agents to interact with external tools, APIs, or services to extend their functionality.
The practice of crafting effective inputs to guide AI models toward desired outputs and behaviors.
2 terms
A technique that enhances AI responses by retrieving relevant information from external knowledge sources.
A machine learning approach where agents learn optimal behaviors through trial-and-error interactions with an environment.
4 terms
Search technology that understands the meaning and context of queries rather than just matching keywords.
The process of computationally determining the emotional tone or attitude expressed in text.
A computer program that acts autonomously on behalf of users or other programs to perform specific tasks in a computer system or network.
An AI approach that performs reasoning and problem-solving by manipulating symbols representing concepts and rules.
3 terms
External functions, APIs, or services that AI agents can learn to call and use to complete tasks.
A machine learning method that applies knowledge and skills learned from one task to different but related tasks.
A neural network architecture that revolutionized NLP by using attention mechanisms to process sequences.
2 terms
A specialized database designed to store and efficiently search high-dimensional vector embeddings.
An AI-powered software agent that performs tasks or provides services through natural language interaction.
1 term
The use of technology to automatically execute a series of business processes or tasks to improve efficiency and accuracy.
1 term
The ability of AI models to perform tasks without having seen specific examples during training.
Showing all 52 terms