
The Importance of Decomposition in Prompt Engineering
About this episode
As AI language models become increasingly powerful, more and more people are discovering the potential of well-crafted prompts to boost productivity and solve complex problems. Justin and Brad share their expertise on designing effective prompts that adhere to rigorous engineering principles. They highlight real-world examples of prompts that have yielded impressive results and provide valuable insights into the art and science of prompt engineering. We discuss decomposing problems into manageable steps, offering strategies to optimize this process for maximum efficiency.
Check out the latest episode of The Prompt Desk to learn more about decomposition and prompts.
—
Continue listening to The Prompt Desk Podcast for everything LLM & GPT, Prompt Engineering, Generative AI, and LLM Security.
Check out PromptDesk.ai for an open-source prompt management tool.
Check out Brad’s AI Consultancy at bradleyarsenault.me
Add Justin Macorin and Bradley Arsenault on LinkedIn.
Please fill out our listener survey here to help us create a better podcast: https://docs.google.com/forms/d/e/1FAIpQLSfNjWlWyg8zROYmGX745a56AtagX_7cS16jyhjV2u_ebgc-tw/viewform?usp=sf_link
Hosted on Ausha. See ausha.co/privacy-policy for more information.
Get every episode summarized
Each time The Prompt Desk publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from The Prompt Desk

What we learned about LLM’s in a year
The Prompt Desk

Validating Inputs with LLMs
The Prompt Desk

Why you can't automate everything with LLMs
The Prompt Desk

Data Preparation Best Practices for Fine Tuning
The Prompt Desk