About this event
There has been interest in AI and discussion about how different Healthwatch are using it in their work. Following their popular ‘introduction to AI’ session, Healthwatch Nottingham and Nottinghamshire are offering another session that will show you how to get the best from Large Language Models (LLMs) like ChatGPT and Gemini. This session is designed to help you move past “let’s see what it does” and into a more reliable, repeatable way of working.
LLMs can be brilliant for drafting, summarising and structuring information — but they can also be inconsistent, overconfident, or make assumptions you didn’t intend. In this practical session you’ll learn simple, transferable techniques to steer LLMs towards higher-quality outputs, and to sense-check results before you use them.
Type of event
Workshop with presentations, questions and discussion.
Who is this event for?
Healthwatch staff who have an interest in AI.
What you will learn?
We’ll focus on hands-on methods you can apply immediately:
- how to write prompts that give the model the right context
- how to ask for outputs in useful formats (tables, checklists, action logs)
- how to iterate quickly to improve a draft without starting again.
You’ll also learn a straightforward workflow that reduces errors and “hallucinations” (confident-sounding inaccuracies), so you can use LLMs more effectively and with greater confidence.
- A clear mental model of what LLMs can (and can’t) do reliably
- A reusable prompt template for consistently high-quality outputs
- Techniques for structured outputs (tables, checklists, summaries)
- A practical workflow to reduce errors and model hallucinations
- Methods to avoid incorrect assumptions (clarifying questions) and improve drafts (critique, revise
Who is running this event?
Fiona Dawson, Healthwatch Nottingham and Nottinghamshire