an AI system used to produce or complete written text based on patterns identified in training data

an estimate of what might happen next based on patterns found in training data

when something is unfair towards or against something or someone

confidence that something will work as expected and produce reliable and fair results

Chatbot applications and other LLMs

Computing

AI in our world today

Uses of predictive and generative AI

Getting the most out of an LLM

Bias and accuracy in machine learning

Understanding image generators

Deepfakes and trust

Risk mitigation of AI

In this unit, pupils will explore how data science and AI tools are having an impact on our daily lives. They will develop an understanding of how to use these tools effectively as well as an awareness of the issues relating to trust, bias and misinformation.

Using data science and AI tools effectively and safely

analyses the question using patterns from training data

Put these steps in order for how an LLM creates a response:

What is a Large Language Model (LLM) mainly trained on?

What is the term for when the output of an AI model unfairly favours or excludes certain groups or ideas?

to provide realistic conversations by predicting words

What is the main aim of a chatbot using an LLM?

the model always prefers one type of answer

the AI creates the next word in a sentence

confidence that the model’s output is fair

completing a story based on previous sentences

Match each example to the correct keyword:

Which statement about the data used to train LLMs is true?

What is the main purpose of a predictive AI system?

Which task would a generative AI system be best at?

What is the term for the information given to an AI system so it can learn?

Put these actions in order for using predictive AI to forecast exam results:

Which keyword describes an AI system that can make new things like pictures or music?

providing a set of sample essays for AI to study

Chatbot applications and other LLMs

Lesson outcome