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://twitter.com/hammer_mt
https://www.linkedin.com/in/mjt145

Phil
https://twitter.com/DrPhilWinder
https://linkedin.com/in/drphilwinder
https://winder.ai

Links
https://brightpool.dev
https://karpathy.ai
https://help.openai.com/en/articles/6654000
https://gemini.google.com
https://dreambooth.github.io
https://github.com/microsoft/LoRA
https://claude.ai
https://www.langchain.com/langgraph

DESCRIPTION
Large 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

Inspiring Tech Leaders - The Technology Podcast
Interviews with Tech Leaders and insights on the latest emerging technology trends.

Listen on: Apple Podcasts   Spotify

Bluesky
Twitter
Instagram
LinkedIn
Facebook

CHANNEL MEMBERSHIP BONUS
Join this channel to get early access to videos & other perks:
https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/join

Looking for a unique learning experience?
Attend the next GOTO conference near you! Get your ticket: gotopia.tech

SUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!