Navigating the Nuances of Language Models and Prompt Engineering

22min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

The chapter explores the complexities of working with various language models, emphasizing the need for unique approaches for effective communication. It discusses the differences in model responses, the role of prompt engineers in AI projects, and the evolving landscape of language models in the industry. The conversation also covers the challenges and strategies of prompt engineering in machine learning systems, highlighting the shift towards structured and collaborative approaches involving both technical and non-technical stakeholders.

Daniel & Chris explore the state of the art in prompt engineering with Jared Zoneraich, the founder of PromptLayer. PromptLayer is the first platform built specifically for prompt engineering. It can visually manage prompts, evaluate models, log LLM requests, search usage history, and help your organization collaborate as a team. Jared provides expert guidance in how to be implement prompt engineering, but also illustrates how we got here, and where we’re likely to go next.

Leave us a comment

Changelog++ members save 4 minutes on this episode because they made the ads disappear. Join today!

Sponsors:

Shopify – Sign up for a $1/month trial period at shopify.com/practicalai
Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs.

Featuring: