In this engaging discussion, Jared Zoneraich, Co-founder and CEO of PromptLayer, dives into the evolving landscape of prompt engineering. He emphasizes the importance of equipping non-technical experts to harness AI effectively. Zoneraich shares insights on best practices for crafting prompts, the significance of language alignment, and the relevance of human expertise in defining complex problems. He also explains how tailored AI responses and collaboration between domain experts can drive success in generative AI applications.
01:02:08
forum Ask episode
web_stories AI Snips
view_agenda Chapters
auto_awesome Transcript
info_circle Episode notes
insights INSIGHT
Flexibility in AI Responses
AI systems must adapt to various user needs, which can lead to different effective solutions for the same problem. There is no one-size-fits-all approach.
insights INSIGHT
Irreducible Problems
The irreducible nature of problems ensures that prompt engineering will remain relevant. Even with advancements in AI, defining the right problem to solve is crucial.
question_answer ANECDOTE
AI Parenting Coach
A teacher used PromptLayer to edit prompts for an AI parenting coach app. This experience highlighted how non-technical experts can effectively engage with AI tools.
Get the Snipd Podcast app to discover more snips from this episode
Prompt engineering matters more than ever. But it’s evolving into something totally new:
A way for non-technical domain experts to solve complex problems with AI.
I spent an hour talking to prompt wizard Jared Zoneraich, cofounder and CEO of PromptLayer, about why the death of prompt engineering is greatly exaggerated. And why the future of prompting is equipping non-technical experts with the tools to manage, deploy, and evaluate prompts quickly.
We get into:
His theory around why the “irreducible” nature of problems will keep prompt engineering relevant
Prompt engineering best practices around prompts, evals, and datasets
Why it’s important to align your prompts with the language the model speaks
How to run evals when you don’t have ground truth
Why he believes that the companies who have domain experts to scope out the right problems will win in the age of gen AI
This is a must-watch for prompt engineers, people interested in building with AI systems, or anyone who wants to generate predictably good responses from LLMs.
If you found this episode interesting, please like, subscribe, comment, and share!
AI and I