LIVE WEBINAR WITH DEMO

How to operationalize prompt engineering as part of your GenAI development process

January 23, 2025
10:00 AM PST / 1:00 PM EST
Image
Grace King

Senior Product Manager
Snorkel AI

Image
Shane Johnson

Senior Director of Product Marketing
Snorkel AI

Prompt engineering is often the first step taken to improve the accuracy and quality of LLM responses, even with retrieval-augmented generation (RAG). The goal is to formulate a prompt that induces the model to reason in a way that produces a correct response.

In this webinar, we’ll start with an overview of prompt engineering followed by an explanation of techniques such as Meta, Tree-of-Thought, and ReAct. Next, we’ll share best practices and real-world examples. Finally, we will explain how to operationalize prompt engineering as a component of the GenAI development process.

Join us to learn more about:

  • The importance of prompt engineering
  • Advanced techniques such as Meta, ToT, and ReAct
  • Integrating prompt engineering with development

  • Date: January 23, 2025
    Time: 10:00 AM PST / 1:00 PM EST

Register now

Register now

By submitting this form, I agree to the Terms of Use and acknowledge that my information will be used in accordance with the Privacy Policy.

Speakers

Image

Grace King

Senior Product Manager
Snorkel AI

Grace King is a Senior Product Manager at Snorkel, where she leads various use cases. A passionate problem solver, she has a background in generative AI for synthetic data generation through her product role at Gretel AI. Grace graduated from Thayer School of Engineering at Dartmouth College with degrees in Electrical and Computer Engineering and from Vassar College with degrees in Physics and Mathematics.

Image

Shane Johnson

Senior Director of Product Marketing
Snorkel AI

I started out as a developer and architect before pivoting to product/marketing. I'm still a developer at heart (and love coding for fun), but I love advocating for innovative products -- particularly to developers.

I've spent most of my time in the database space, but lately I've been going down the LLM rabbit hole.