Machine Translation

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.

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 parameter controlling the randomness of language model outputs — lower values produce more deterministic text.

The process of creating a concise and coherent summary of a longer text document while preserving key information.

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

The field of AI focused on enabling computers to understand, interpret, and generate human language.

The automated production of source code from natural language specifications or partial code context, powered by large language models trained on programming repositories.

Search technology that understands the meaning and intent behind queries rather than just matching keywords.

An unsupervised technique for discovering abstract topics that occur in a collection of documents.

A neural network model that learns distributed word representations by predicting surrounding context words.