(AI) Artificial Intelligence Terms Every Beginner Should Know
Last updated: May 02, 2024 Read in fullscreen view
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Artificial intelligence (AI)
Artificial intelligence, or AI, is technology that enables computers and machines to simulate human intelligence and problem-solving capabilities.
Intelligence Amplification (IA)
Weak AI
AI agent
AI Detector
AI Humanize
Cognitive computing
Corpus
Data corpus
Machine learning
TensorFlow
Generative AI
Search Generative Experience (SGE)
Browse web pages with generative AI-powered tools. With Search Generative Experience (SGE) while browsing, user can:
- Quickly find the web page’s key points.
- Find questions answered on the web page and jump to the relevant section to learn more.
Explainable AI (XAI)
Google-fu
GPT
Large Language Models (LLM)
Prompt
A prompt is an input that a user feeds to an AI system in order to get a desired result or output.
Prompt Engineering
Prompt engineering is the practice of designing, writing, refining and optimizing inputs for AI tools that will produce optimal and specific, high-quality outputs.
AI infusion
Infusing AI is about being able to apply AI across your enterprise, drawing on predictions, automation, and optimization to improve your business decisions/
Data Annotation
Semantic annotation
Sentiment analysis
Predictive analytics
Reinforcement learning (RL)
Supervised machine learning
Unsupervised machine learning
AI ethics
Guardrails
Guardrails refers to restrictions and rules placed on AI systems to make sure that they handle data appropriately and don't generate unethical content.
Predictive analytics
Predictive analytics is a type of analytics that uses technology to predict what will happen in a specific time frame based on historical data and patterns.
Prescriptive analytics
Prescriptive analytics is a type of analytics that uses technology to analyze data for factors such as possible situations and scenarios, past and present performance, and other resources to help organizations make better strategic decisions.










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