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Prompt Size: Best Practices From Zero-Shot to Few-Shot Prompts

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Manage episode 380787669 series 3519364
Content provided by Justin Macorin and Bradley Arsenault. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Justin Macorin and Bradley Arsenault or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Dive deep into the art of prompt engineering as Brad and Justin share their personal experiences with machine learning models, unravel the mysteries of why shorter prompts often yield better results and the nuances of zero-shot vs. few-shot prompts. Whether you're seeking to understand the neural network mechanics or looking for best practices in crafting your own prompts, this episode sheds light on the intricacies of achieving the best model performance. Join us in exploring how to strike the balance between detail and efficiency in prompt design.

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 Brads 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 by Ausha. See ausha.co/privacy-policy for more information.

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53 episodes

Artwork
iconShare
 
Manage episode 380787669 series 3519364
Content provided by Justin Macorin and Bradley Arsenault. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Justin Macorin and Bradley Arsenault or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Dive deep into the art of prompt engineering as Brad and Justin share their personal experiences with machine learning models, unravel the mysteries of why shorter prompts often yield better results and the nuances of zero-shot vs. few-shot prompts. Whether you're seeking to understand the neural network mechanics or looking for best practices in crafting your own prompts, this episode sheds light on the intricacies of achieving the best model performance. Join us in exploring how to strike the balance between detail and efficiency in prompt design.

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 Brads 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 by Ausha. See ausha.co/privacy-policy for more information.

  continue reading

53 episodes

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