Glossary of Terms
This glossary of artificial intelligence (AI) terms provides definitions for commonly used words and phrases by AI professionals, researchers, and enthusiasts.
An Agentic AI is an artificial intelligence designed to act with autonomy, enabling it to make decisions, take initiative, and perform tasks independently without constant human direction.
An AI Copilot is an AI-powered assistant that helps users complete tasks by providing suggestions, automating processes, and offering real-time guidance to enhance productivity.
AI Onboarding is the use of artificial intelligence to automate and personalize the process of integrating new employees into an organization, streamlining tasks like document submission, training, and initial communication.
AI Recruiting Tools are software solutions that leverage artificial intelligence to improve hiring processes, including resume screening, candidate matching, interview scheduling, and predicting candidate success.
An AI Search is a search technology that uses artificial intelligence to understand user intent, process natural language, and deliver more accurate, context-aware, and personalized search results.
AI Upskilling is the process of using artificial intelligence to help individuals develop new skills or enhance existing ones through personalized learning experiences and adaptive training programs.
AI Task Automation is the application of artificial intelligence to perform repetitive, rule-based tasks without human intervention, improving efficiency and reducing manual workload.
Augmented Intelligence is a collaboration between humans and artificial intelligence designed to enhance human decision-making and performance rather than replace human intelligence.
A Bot is an automated software application that performs predefined tasks, often repetitive in nature, ranging from web crawling to customer service interactions.
Bias in AI is the presence of systematic errors in artificial intelligence systems that result from prejudiced data, algorithms, or human influence, leading to unfair or inaccurate outcomes.
A Chatbot is a computer program designed to simulate human conversation, allowing users to interact with systems through text or voice to answer questions, provide support, or perform tasks.
ChatGPT is an AI language model developed to generate human-like text responses, enabling conversational interactions, answering questions, and assisting with various text-based tasks.
Conversational AI is a technology that enables machines to understand, process, and respond to human language through text or speech, facilitating natural and interactive communication.
A Deterministic Model is a system where outcomes are precisely determined by initial conditions and rules, producing the same result every time given the same input.
Digital Transformation is the process of integrating digital technologies into business operations to improve efficiency, enhance customer experiences, and drive innovation.
A Foundation Model is a large-scale AI model trained on diverse data that can be adapted to various tasks, serving as a base for specialized applications in areas like language processing or image recognition.
Generative AI is a type of artificial intelligence that creates new content—such as text, images, or music—by learning patterns from existing data and producing original outputs.
GPT-3 is a third-generation language model developed by OpenAI that uses deep learning to generate human-like text, enabling tasks such as writing, translation, and conversation.
GPT-4 is the fourth-generation language model by OpenAI, offering improved accuracy, contextual understanding, and multimodal capabilities to process both text and images.
A Hallucination in AI refers to the generation of incorrect or nonsensical information by an AI model, even when the output appears plausible or coherent.
An HR Chatbot is an AI-powered tool designed to assist with human resource functions, such as answering employee questions, managing onboarding processes, and streamlining HR-related communications.
HRIS Integration is the process of connecting a Human Resource Information System (HRIS) with other software platforms to ensure seamless data flow and improve HR operations.
Human-Centered AI is an approach to artificial intelligence that prioritizes human needs, values, and collaboration, ensuring technology enhances rather than replaces human capabilities.
A Large Language Model is an AI system trained on vast amounts of text data to understand and generate human-like language for various applications, including translation, summarization, and conversation.
Machine Learning is a branch of artificial intelligence that enables systems to learn from data, identify patterns, and make decisions or predictions without being explicitly programmed.
A Multimodal Language Model is an AI system capable of processing and understanding multiple forms of data, such as text, images, and audio, to generate comprehensive outputs.
Natural Language Processing (NLP) is a branch of artificial intelligence that enables machines to understand, interpret, and generate human language in text or speech form.
A Neural Network is a machine learning model inspired by the human brain, consisting of interconnected layers of nodes (neurons) that process data to recognize patterns and make predictions.
No-Code refers to platforms or tools that enable users to build applications, websites, or automate workflows without requiring programming knowledge.
OpenAI is an artificial intelligence research organization focused on developing and promoting safe and beneficial AI technologies for various applications.
Pre-Training is the initial phase in training an AI model where it learns general patterns from large datasets before being fine-tuned for specific tasks.
Predictive Analytics is the use of data, statistical algorithms, and machine learning techniques to forecast future outcomes based on historical information.
Prompt Engineering is the process of crafting effective input prompts to guide AI models in generating desired and accurate outputs.
Prompting is the act of providing input or instructions to an AI model to elicit a specific response or perform a particular task.
Reinforcement Learning is a type of machine learning where an AI system learns through trial and error by receiving rewards or penalties for its actions to achieve a specific goal.
Training AI is the process of feeding data into an artificial intelligence system to help it learn, improve performance, and make accurate predictions or decisions.
A Transformer is a deep learning model architecture designed to handle sequential data, such as text, enabling efficient processing of long-range dependencies in language tasks.