Action Model
An internal model used by AI agents to predict the potential outcomes of their actions in specific states.
Category: Core Concepts
Read more →A comprehensive guide to AI terminology and concepts. Explore 62 essential terms to enhance your understanding of artificial intelligence.
11 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.
A hypothetical form of AI that matches or surpasses human intelligence across virtually every domain.
The simulation of human intelligence in machines programmed to think and learn like humans.
AI that is much more intelligent than the best human minds in virtually every domain.
AI that exceeds the capabilities of the best human minds in nearly every field.
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.
4 terms
The ability of AI models to learn new tasks with only a small number of training examples.
A post-training technique to specialize a trained model on specific data for a particular task.
A post-training technique to specialize a trained model on specific data for a particular task.
Large-scale AI models trained on diverse data that serve as the basis for various downstream applications.
3 terms
AI systems that create new content—text, images, code, audio, or video—by learning patterns from data.
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.
3 terms
The process of a trained AI model generating a response or making a prediction based on new input.
The process of a trained AI model generating a response or making a prediction based on new input.
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.
2 terms
An open-source framework for developing applications powered by large language models (LLMs).
A large-scale neural network trained to understand and generate human language.
4 terms
An open standard that allows AI models to interact with external tools like calendars, CRMs, or codebases easily and securely.
An open standard that allows AI models to interact with external tools like calendars, CRMs, or codebases easily and securely.
An AI model is a computer program built to work like a human brain, processing input to generate a response.
An AI model is a computer program built to work like a human brain, processing input to generate a response.
3 terms
Additional steps taken after a model's initial training is complete to make it more useful.
Additional steps taken after a model's initial training is complete to make it more useful.
Crafting inputs that elicit more accurate or useful outputs from AI models.
3 terms
A technique that injects fresh, external knowledge into LLM prompts at run-time.
A post-training technique to align AI models with human preferences using feedback.
A post-training technique to align AI models with human preferences using feedback.
4 terms
A type of machine learning where a model is trained on labeled data with correct answers provided.
A type of machine learning where a model is trained on labeled data with correct answers provided.
Artificially generated data that mimics the patterns and structure of real-world data.
Artificially generated data that mimics the patterns and structure of real-world data.
5 terms
The basic unit of text that an AI model processes, which can be a word or part of a word.
The basic unit of text that an AI model processes, which can be a word or part of a word.
The process by which an AI model learns by analyzing massive amounts of data.
The process by which an AI model learns by analyzing massive amounts of data.
The neural-network architecture that introduced ‘attention’ and enabled today’s LLM revolution.
2 terms
A type of machine learning where a model is given unlabeled data to find patterns on its own.
A type of machine learning where a model is given unlabeled data to find patterns on its own.
3 terms
Building applications using AI tools by describing what you want in plain English (prompts) rather than writing code.
Building applications using AI tools by describing what you want in plain English (prompts) rather than writing code.
A marketing approach that uses AI-generated, meme-friendly content to create authentic ‘vibes’ and social buzz.
1 term
The ability of AI models to perform tasks without having seen specific examples during training.
Showing all 62 terms