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

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

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

13min |25/10/2023
Play
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Prompt Size: Best Practices From Zero-Shot to Few-Shot Prompts cover
Prompt Size: Best Practices From Zero-Shot to Few-Shot Prompts cover
The Prompt Desk

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

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

13min |25/10/2023
Play

Description

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.

Description

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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Description

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.

Description

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.

Share

Embed

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