Terms & concepts
Get acquainted with common terms related to conversational AI and your use of NLX
Common workspace terms
Natural Language Processing (NLP); processes a user's lexical queries for matching to training data and slot values.
Natural Language Understanding (NLU); built-into the NLX Dialog Studio product, the NLU keeps track of conversation state and interfaces with backend and frontend services.
Large Language Model; comprehends and generates human language responses from large deep learning models.
The conversational AI application that users interact with that is defined in your workspace by the channels and intents you assign it.
The conversation method (voice, chat) and communication application (Amazon Connect, Twilio, etc.) your bot uses to converse with users.
The automated task that follows a business action to handle a specific user query (e.g., book a flight, check showtimes).
A workflow constructed of multiple nodes that defines the process for completing a business action with logic and messaging.
The training data provided to AI models to understand user intent and invoke the appropriate intent workflow.
Slots are parameters extracted from users that are required for completing a process outlined in an intent workflow. They may be matched to fixed values (custom), or open-ended (using the NLX system slots).
APIs that return a response when invoked in an intent flow (e.g., hotel room availability, user name, movie showtimes).
APIs that trigger an outbound event and simply return a success or failure status.
APIs that represent extendable points in the conversation:
Conversation start
Escalation
Conversation end
Data request streaming (streams State modifications applied to Data requests when invoked in conversation)
Multimodal conversation experiences that synchronize voice with externally-hosted digital assets.
Resource for creating a digital repository of knowledge that can answer common queries from users without the need to construct independent intents to address
Displays conversation sessions with deployed bots that also shows NLP information, including NLP confidence score and intents matched.
Displays a list of all user utterances that had low NLP confidence scores or triggered the Unknown behavior.
Utterances
User inputs that may be spoken or written.
Custom or templated dashboards sharing key metrics for bot performance, API performance, user engagement, and more.
Method for sharing information between intent flows in a single conversation session that can be statically set during a conversation's start or dynamically updated during the conversation.
Sensitive or secret values, such as URL strings, API keys, passwords, etc.
Last updated