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A glossary of terms related to AI, chatbots and conversational marketing. Learn the lingo and become a chatbot expert.
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.
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.
An API designed for building conversational AI models.
The process of improving a chatbot's performance by feeding it data and refining its algorithms.
The character or persona a chatbot exhibits during interactions, defined by its tone, style, and manner of communication.
User interfaces that enable interaction with the user in a conversational manner.
The ability of a system to understand the context in which a user's input is given.
A platform or set of tools used to build, test, and deploy chatbots.
The sequence and structure of interactions that a chatbot follows during a conversation.
The process of integrating and making a chatbot live on a platform or channel for users to interact with.
An AI system's ability to constantly adapt and improve its performance by learning from new data over time.
A record of past interactions and conversations between the user and the chatbot.
A software program designed to simulate conversation with human users.
The process of crafting effective and natural dialogues for chatbots and virtual assistants.
Quantitative measures used to evaluate and optimize the performance, efficiency, and user satisfaction of chatbots.
A software or service that provides tools and infrastructure to design, develop, train, and deploy chatbots.
Features allowing users to set preferences for how ChatGPT operates.
Tailored versions of ChatGPT for specific tasks or knowledge areas.
A subscription level for users to access advanced GPT models.
A type of machine learning that uses neural networks with many layers.
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.
The process of identifying and classifying key information or data points from user input in a chatbot conversation.
A training approach where a system learns to map inputs directly to outputs, minimizing intermediate steps or feature engineering.
A default response given by a chatbot when it cannot understand or process the user's input.
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.
AI’s ability to execute specific tasks or functions within a program.
A marketplace for sharing and discovering custom GPTs.
An advanced GPT-4 iteration with enhanced speed and performance.
A model where human intervention assists in the decision-making process of an automated system.
The ability of a chatbot to understand and identify what a user wants to achieve.
Set of protocols and tools that allow different software applications to communicate and work together.
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.
A centralized repository of information that chatbots or systems use to answer user queries.
A real-time communication method between customers and support agents or sales representatives via a website or application.
A subset of AI that allows systems to learn and improve from experience without being explicitly programmed.
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.
The process by which machine learning models learn from data.
The ability of AI to understand and generate different data types like text and images.
A branch of AI that deals with the interaction between computers and human language.
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.
A technique where chatbots recognize specific patterns in user input to generate responses.
Machine learning models that have been previously trained on large datasets and can be fine-tuned or adapted for specific tasks.
Options for users to manage their data and how it's used by AI models.
The process by which AI systems produce replies or actions in response to user input.
A type of machine learning where models learn to make decisions through trial and error.
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.
A technique used to determine the sentiment or emotion expressed in a piece of text.
A technique used in conversational AI to gather specific pieces of information from the user.
Pre-defined replies or messages that a chatbot uses in specific scenarios or for certain user inputs.
A technology that converts spoken language into written text.
Measures to prevent misuse of GPTs and ensure ethical usage.
Data used to teach and refine machine learning models.
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.
A technology that converts written text into audible speech.
A machine learning architecture used primarily in the field of natural language processing (NLP).
Technology that converts digital text into spoken voice output.
Any input or phrase that a user communicates to a chatbot during a conversation.
A new iteration of GPT-3.5 with expanded capabilities and improved efficiency.
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.
A feature that allows models to consider larger amounts of information.