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AI Glossary
Explanations of terms from the broad field of AI
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AI Agent
Model with autonomy, goals, and tool usage.
AI Ethics
Guidelines for the responsible use and development of AI.
AI Governance
Frameworks and processes to control AI systems.
AI Research
Scientific development of new methods and applications.
AI Tool
Application that provides AI functions.
AI-as-a-Service (AIaaS)
Providing AI capabilities as cloud services.
API (Application Programming Interface)
Interface for communication between software components.
Activation Function
Introduces non-linearity into neural networks.
Algorithm
Step-by-step procedure for solving a problem.
Alignment
Ensuring AI systems follow human values and goals.
Anonymization
Removing identifying features from data.
Artificial General Intelligence (AGI)
Hypothetical AI with human-like general intelligence.
Artificial Intelligence (AI)
Core concept: machines performing tasks that require cognitive abilities.
Artificial Superintelligence (ASI)
AI that surpasses humans across all cognitive domains.
Attention Mechanism
Weights relevant parts of the input dynamically.
Audio Analysis
Detecting and extracting patterns in audio data.
Autoencoder
Unsupervised model for compression and reconstruction.
Automatic Speech Recognition (ASR)
Conversion of spoken language into text.
Automation
Shifting tasks from humans to machines.
Autonomous Driving
Vehicles perceiving their environment and driving autonomously.
Batch / Epoch
Training subsets and full dataset passes.
Bias
Systematic deviation in data or model behavior.
Chain-of-Thought
Explicit reasoning steps for problem-solving.
Chatbot
Program that interacts with humans via text or voice.
Cloud Computing
On-demand scalable computing resources via the internet.
Code Generation
Automatic creation of programming code from descriptions or examples.
Commercial AI
Proprietary models, services, and platforms.
Computer Vision
Automated image and video analysis by computers.
Consent
Voluntary and informed approval for data processing.
Context Window
Maximum number of tokens a model can process at once.
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