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Contenuto fornito da Justin Macorin and Bradley Arsenault. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Justin Macorin and Bradley Arsenault o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
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Prompt Size: Best Practices From Zero-Shot to Few-Shot Prompts

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Manage episode 380787669 series 3519364
Contenuto fornito da Justin Macorin and Bradley Arsenault. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Justin Macorin and Bradley Arsenault o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.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


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52 episodi

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iconCondividi
 
Manage episode 380787669 series 3519364
Contenuto fornito da Justin Macorin and Bradley Arsenault. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Justin Macorin and Bradley Arsenault o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.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

52 episodi

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