Everything is going well until a prompt that works most of the time, goes off the rails. Does this sound familiar? The inherent fragility and non-deterministic nature of prompts can be challenging, often leading to inconsistent outputs.

In this session, I'll dive into advanced prompting techniques that are grounded in research and empirical evidence. We'll explore how to tailor methods to specific tasks and how these strategies can significantly enhance output consistency and quality.

We'll go over specific examples, tried and tested templates, and you'll leave with a few more tools in your prompt engineering/AI tool belt.

Top 3 things to take away

• Actionable prompting strategies you can implement today
• A framework to make decisions on prompt engineering questions in the future
• How different models require different techniques and excel in different areas