Question Answering

Machine Translation

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

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.

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

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

A fine-grained sentiment analysis approach that identifies opinions directed at specific aspects or features of an entity, such as a product's price, quality, or design.

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

The syntactic analysis of a sentence to establish relationships between head words and words that modify them.

Training a language model to follow natural language instructions by fine-tuning on instruction-response pairs.

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

Identifying semantic relationships between entities mentioned in text.