Extractive Summarisation

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.

Top-K Sampling

A text generation strategy that restricts the model to sampling from the K most probable next tokens.

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.

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 neural network architecture that maps an input sequence to an output sequence, used in translation and summarisation.

A neural network trained on massive text corpora that can generate, understand, and reason about natural language.

The maximum amount of text a language model can consider at once when generating a response.

A probabilistic model that assigns probabilities to sequences of words, enabling prediction of the next word in a sequence.

The process of assigning grammatical categories (noun, verb, adjective) to each word in a text.

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

The computational study of people's opinions, emotions, and attitudes expressed in text.

Global Vectors for Word Representation — an unsupervised learning algorithm for obtaining word vector representations from aggregated word co-occurrence statistics.