Top-K Sampling

Machine Translation

The use of AI to automatically translate text or speech from one natural language to another.

Question Answering

An NLP task where a system automatically answers questions posed in natural language based on given context.

Text Generation

The process of producing coherent and contextually relevant text using AI language models.

Chatbot

A software application that simulates human conversation through text or voice interactions using NLP.

Conversational AI

AI systems designed to engage in natural, context-aware dialogue with humans across multiple turns.

Dialogue System

A computer system designed to converse with humans, encompassing task-oriented and open-domain conversation.

Text-to-SQL

The task of automatically converting natural language questions into executable SQL queries, enabling non-technical users to interrogate databases through conversational interfaces.

Extractive Summarisation

A summarisation technique that identifies and selects the most important sentences from a source document to compose a condensed version without generating new text.

Intent Detection

The classification of user utterances into predefined categories representing the user's goal or purpose, a fundamental component of conversational AI and chatbot systems.

Dialogue Management

The component of conversational systems that tracks conversation state, determines the next system action, and maintains coherent multi-turn interactions with users.

A measure of how closely the meanings of two text passages align, computed through embedding comparison and used in duplicate detection, search, and recommendation systems.

A security vulnerability where malicious inputs manipulate a language model into ignoring its instructions or producing unintended outputs.

Techniques and architectures that enable language models to process and reason over extremely long input sequences, from tens of thousands to millions of tokens.

Generative Pre-trained Transformer — a family of autoregressive language models that generate text by predicting the next token.

The task of extracting specific parameter values from user utterances to fulfil a detected intent, such as identifying dates, locations, and names in booking requests.

The process of breaking text into smaller units (tokens) such as words, subwords, or characters for processing by language models.

The subfield of NLP focused on machine reading comprehension and extracting meaning from text.

The maximum number of tokens a language model can process in a single input-output interaction.

Strategy

A plan of action designed to achieve a long-term or overall aim, involving resource allocation and competitive positioning.