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AI Chatbot Terms

A glossary of terms related to AI, chatbots and conversational marketing. Learn the lingo and become a chatbot expert.

128K Context Window

A feature that allows models to consider larger amounts of information.

AI (Artificial Intelligence)

The simulation of human intelligence processes by machines, especially computer systems.


A set of rules or procedures for solving a problem or accomplishing a task.

Active Learning

A machine learning approach where the model queries the user or an oracle for input on uncertain data.


Advanced AI systems capable of performing tasks in the real world.


Application Programming Interfaces that enable GPTs to connect with other services and data.

Assistants API

An API designed for building conversational AI models.

Bot Training

The process of improving a chatbot's performance by feeding it data and refining its algorithms.

Bot Personality

The character or persona a chatbot exhibits during interactions, defined by its tone, style, and manner of communication.

Conversational UI

User interfaces that enable interaction with the user in a conversational manner.

Contextual Understanding

The ability of a system to understand the context in which a user's input is given.

Chatbot Framework

A platform or set of tools used to build, test, and deploy chatbots.

Chatbot Flow

The sequence and structure of interactions that a chatbot follows during a conversation.

Chatbot Deployment

The process of integrating and making a chatbot live on a platform or channel for users to interact with.

Continuous Learning

An AI system's ability to constantly adapt and improve its performance by learning from new data over time.

Chat History

A record of past interactions and conversations between the user and the chatbot.

Conversational Agent

A software program designed to simulate conversation with human users.

Conversational Design

The process of crafting effective and natural dialogues for chatbots and virtual assistants.

Chatbot Metrics

Quantitative measures used to evaluate and optimize the performance, efficiency, and user satisfaction of chatbots.

Chatbot Platform

A software or service that provides tools and infrastructure to design, develop, train, and deploy chatbots.

Custom Instructions

Features allowing users to set preferences for how ChatGPT operates.

Custom GPTs

Tailored versions of ChatGPT for specific tasks or knowledge areas.

ChatGPT Plus

A subscription level for users to access advanced GPT models.

Deep Learning

A type of machine learning that uses neural networks with many layers.

Dialog Management

The component of a chatbot that handles the flow of conversation.


The process where a chatbot seeks clarity on ambiguous user input to provide the most accurate response.


The latest version of OpenAI’s image generation model.


Specific pieces of information extracted from user input, like names, dates, and products.

Entity Extraction

The process of identifying and classifying key information or data points from user input in a chatbot conversation.

End-to-End Learning

A training approach where a system learns to map inputs directly to outputs, minimizing intermediate steps or feature engineering.

Fallback Response

A default response given by a chatbot when it cannot understand or process the user's input.

Feedback Loop

A mechanism that allows systems to learn from their actions by receiving feedback on their performance.


Adjusting a pre-trained model to perform better on specific tasks or datasets.

Function Calling

AI’s ability to execute specific tasks or functions within a program.

GPT Store

A marketplace for sharing and discovering custom GPTs.

GPT-4 Turbo

An advanced GPT-4 iteration with enhanced speed and performance.

Human-in-the-loop (HITL)

A model where human intervention assists in the decision-making process of an automated system.

Intent Recognition

The ability of a chatbot to understand and identify what a user wants to achieve.

Integration APIs

Set of protocols and tools that allow different software applications to communicate and work together.

Intent Classification

The process of determining the specific goal or purpose behind a user's input in a conversation with a chatbot.


A format enabling structured data handling by AI models.

Knowledge Base

A centralized repository of information that chatbots or systems use to answer user queries.

Live Chat

A real-time communication method between customers and support agents or sales representatives via a website or application.

Machine Learning (ML)

A subset of AI that allows systems to learn and improve from experience without being explicitly programmed.

Multimodal Interaction

Interactions involving multiple modes or channels of communication, such as voice, text, and visuals.


Software layers that offer services and capabilities between the chatbot platform and external systems or databases.

Model Training

The process by which machine learning models learn from data.

Multimodal Capabilities

The ability of AI to understand and generate different data types like text and images.

Natural Language Processing (NLP)

A branch of AI that deals with the interaction between computers and human language.

Neural Network

Computing systems inspired by the structure and functioning of the human brain.


A multi-channel approach to sales or customer service that provides an integrated and cohesive customer experience.


A specific piece of data or instruction sent by a chatbot or received by it to trigger a certain action.

Pattern Matching

A technique where chatbots recognize specific patterns in user input to generate responses.

Pre-trained Models

Machine learning models that have been previously trained on large datasets and can be fine-tuned or adapted for specific tasks.

Privacy Controls

Options for users to manage their data and how it's used by AI models.

Response Generation

The process by which AI systems produce replies or actions in response to user input.

Reinforcement Learning

A type of machine learning where models learn to make decisions through trial and error.

Reproducible Outputs

The consistency of AI in generating the same results under the same conditions.


A single interaction or series of interactions between a user and a chatbot during a specific timeframe.

Sentiment Analysis

A technique used to determine the sentiment or emotion expressed in a piece of text.

Slot Filling

A technique used in conversational AI to gather specific pieces of information from the user.

Scripted Responses

Pre-defined replies or messages that a chatbot uses in specific scenarios or for certain user inputs.

Speech to Text

A technology that converts spoken language into written text.

Safety Mitigations

Measures to prevent misuse of GPTs and ensure ethical usage.

Training Data

Data used to teach and refine machine learning models.

Turing Test

A test of a machine's ability to exhibit intelligent behavior indistinguishable from that of a human.


A predefined limit or value that determines specific actions or outcomes based on comparison with incoming data.

Text to Speech

A technology that converts written text into audible speech.

Transformer Models

A machine learning architecture used primarily in the field of natural language processing (NLP).

Text-to-Speech (TTS)

Technology that converts digital text into spoken voice output.


Any input or phrase that a user communicates to a chatbot during a conversation.

Updated GPT-3.5 Turbo

A new iteration of GPT-3.5 with expanded capabilities and improved efficiency.

Voice Assistant

A digital assistant that uses voice recognition to interpret and respond to user commands.


Automated messages sent from apps when something happens.


A small software component that provides a specific functionality, often used to integrate chatbots into websites or apps.

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