Worked Examples

A text-based chatbot that answers customer questions about products and services. Uses a large language model for natural language understanding.

An automated system that screens job applications, ranks candidates based on resume analysis, and recommends candidates for interviews.

An AI system that processes camera, lidar, and radar data to detect objects, pedestrians, and road features for an autonomous vehicle.

A system used by a public authority that evaluates citizens' trustworthiness based on social behaviour, assigning scores that affect access to public services.

A general-purpose AI model with 70 billion parameters, trained on large-scale internet data. Designed to be integrated into downstream applications by third-party providers.

A state-of-the-art general-purpose AI model trained with over 10^26 FLOPs of compute, capable of generating text, code, and reasoning across domains. Made available via API to millions of users worldwide.

A 7-billion parameter language model released under the Apache 2.0 licence with publicly available model weights, training methodology, and evaluation results.

A machine learning system that classifies incoming emails as spam or legitimate. Operates entirely server-side with no direct user interaction.

A consumer-facing application that generates realistic synthetic video content from text prompts, capable of producing AI-generated content depicting real or fictional persons.

An AI system used by a bank to evaluate the creditworthiness of natural persons applying for consumer loans, using alternative data sources including transaction history and behavioural signals.