the input question, instruction, or message you give to a large language model (LLM)

when something is unclear or too general to be useful

the extra information you give to help the LLM interpret your prompt better

using knowledge and skills to design and create things that solve problems or make life easier

Getting the most out of an LLM

Computing

AI in our world today

Uses of predictive and generative AI

Chatbot applications and other LLMs

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

What is the most important factor in getting a useful response from an LLM?

What is the process called where you design and refine inputs to improve the responses from a large language model?

extra information to help interpret a prompt

Put these steps in order for improving an LLM’s output:

you can type anything and always get the best answer

clear, specific prompts lead to better results

Which statement about using LLMs is correct?

critically evaluate and cross-check the response

What should you do if an LLM’s answer seems biased or incorrect?

What do the initials LLM stand for in artificial intelligence?

AI system produces text based on patterns in training data

AI system generates a sentence based on previous words

model’s responses unfairly favour certain topics or groups

Match the example to the correct keyword:

the model always selects the same type of response for similar prompts

Which of these is an example of bias in an AI system?

What is the role of training data in an LLM?

Put these steps in order for how a chatbot generates a reply:

Which of these is NOT a reason to be cautious about trusting LLM outputs?

This lesson will be removed by end of Summer Term 2025.

Getting the most out of an LLM

Lesson outcome

This lesson will be removed by end of Summer Term 2025.