Prompt Engineering for Generative AI • James Phoenix, Mike Taylor & Phil Winder episode artwork

EPISODE · Aug 1, 2025 · 53 MIN

Prompt Engineering for Generative AI • James Phoenix, Mike Taylor & Phil Winder

from GOTO - The Brightest Minds in Tech · host James Phoenix, Mike Taylor, Phil Winder & GOTO

This interview was recorded for the GOTO Book Club.http://gotopia.tech/bookclubRead the full transcription of the interview hereJames Phoenix - Co-Author of "Prompt Engineering for Generative AI"Mike Taylor - Co-Author of "Prompt Engineering for Generative AI"Phil Winder - Author of "Reinforcement Learning" & CEO of Winder.AIRESOURCESJameshttps://x.com/jamesaphoenix12https://www.linkedin.com/in/jamesphoenixhttps://understandingdata.comMikehttp://saxifrage.xyzhttps://twitter.com/hammer_mthttps://www.linkedin.com/in/mjt145Philhttps://twitter.com/DrPhilWinderhttps://linkedin.com/in/drphilwinderhttps://winder.aiLinkshttps://brightpool.devhttps://karpathy.aihttps://help.openai.com/en/articles/6654000https://gemini.google.comhttps://dreambooth.github.iohttps://github.com/microsoft/LoRAhttps://claude.aihttps://www.langchain.com/langgraphDESCRIPTIONLarge language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation.With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice. When first integrating LLMs and diffusion models into their workflows, most developers struggle to coax reliable enough results from them to use in automated systems.* Book description: © O'ReillyRECOMMENDED BOOKSJames Phoenix & Mike Taylor • Prompt Engineering for Generative AIPhil Winder • Reinforcement LearningBlueskyInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

Episode metadata supplied by the publisher feed · Published Aug 1, 2025

Embed this episode

This interview was recorded for the GOTO Book Club. http://gotopia.tech/bookclub Read the full transcription of the interview here James Phoenix - Co-Author of "Prompt Engineering for Generative AI" Mike Taylor - Co-Author of "Prompt Engineering for Generative AI" Phil Winder - Author of "Reinforcement Learning" & CEO of Winder.AI RESOURCES James https://x.com/jamesaphoenix12 https://www.linkedin.com/in/jamesphoenix https://understandingdata.com Mike http://saxifrage.xyz https://twitt...

Distinct summary based on available episode metadata or transcript content.

NOW PLAYING

Prompt Engineering for Generative AI • James Phoenix, Mike Taylor & Phil Winder

0:00 53:33

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of GOTO - The Brightest Minds in Tech?

This episode is 53 minutes long.

When was this GOTO - The Brightest Minds in Tech episode published?

This episode was published on August 1, 2025.

Is there a transcript available for this episode?

Yes, a full transcript is available for this episode. You can read the complete transcript on the episode page.

Can I download this GOTO - The Brightest Minds in Tech episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!