Unraveling prompt engineering

On the face of things, prompting seems intuitive and straightforward. With that said, you'd be hard-pressed to find a developer who'll say that it's easy. This webinar will focus on unraveling the "art" of prompt engineering into best practices and methodologies.
Key topics
LLM compatibility: considerations in use case, task, model, infrastructure, and prompting selection and matching.
The much-overlooked basics of prompting: understanding model tendencies and biases, chaining, mega prompts, and multi-calls, and adhering to prompt formats.
Breakthroughs in prompting techniques: such as Chain-of-Though, Tree-of-Thoughts, Thought frameworks (React), and Chain-of-Density.
Bug-driven development for LLMs + some hands-on examples of prompt engineering best practices
Come with questions! But be advised that this is not an intro session to prompt engineering - we won't be covering basic prompt patterns and concepts such as zero-shot or temperature.
Advised pre-reading
Prompt Engineering Guide
Eight Prompt Engineering Templates
Design Patterns In Prompt Engineering
Presentation
go.superwise.a...

[@zugbob]

These are some of the best videos I've seen on this topic.

[@svendpai]

Great talk, your webinars are a wonderful source of information :)

[@vladimirobellini6128]

great

[@GigaFro]

Hm… the first speaker made it sound like you couldn’t use context outside of the user input without prompt chaining. This is not true. Otherwise, loved the talk !