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Prompt Engineering for Generative AI • James Phoenix, Mike Taylor & Phil Winder
Manage episode 497715796 series 2896766
Content provided by GOTO. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by GOTO 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://podcastplayer.com/legal.
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 workflows, most developers struggle to coax reliable enough results from them to use in automated systems.
* Book description: © O'Reilly
RECOMMENDED BOOKS
James Phoenix & Mike Taylor • Prompt Engineering for Generative AI
Phil Wi
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!
Chapters
1. Intro (00:00:00)
2. Key aspects of Prompt Engineering & its definition (00:03:05)
3. Misconceptions about Prompt Engineering (00:09:00)
4. Practical applications & tools (00:10:38)
5. 5 principles of prompting (00:13:51)
6. Balancing creativity & specificity in AI models (00:25:49)
7. RAG: The power of iterative steps, query planning & routing in AI systems (00:31:39)
8. Understanding agentic systems: Beyond prompt-based AI (00:41:21)
9. Outro (00:49:46)
232 episodes
Share
Manage episode 497715796 series 2896766
Content provided by GOTO. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by GOTO 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://podcastplayer.com/legal.
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 workflows, most developers struggle to coax reliable enough results from them to use in automated systems.
* Book description: © O'Reilly
RECOMMENDED BOOKS
James Phoenix & Mike Taylor • Prompt Engineering for Generative AI
Phil Wi
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!
Chapters
1. Intro (00:00:00)
2. Key aspects of Prompt Engineering & its definition (00:03:05)
3. Misconceptions about Prompt Engineering (00:09:00)
4. Practical applications & tools (00:10:38)
5. 5 principles of prompting (00:13:51)
6. Balancing creativity & specificity in AI models (00:25:49)
7. RAG: The power of iterative steps, query planning & routing in AI systems (00:31:39)
8. Understanding agentic systems: Beyond prompt-based AI (00:41:21)
9. Outro (00:49:46)
232 episodes
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Similar to GOTO - The Brightest Minds in Tech
Hanselminutes is Fresh Air for Developers. A weekly commute-time podcast that promotes fresh technology and fresh voices. Talk and Tech for Developers, Life-long Learners, and Technologists.
…
continue reading
Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
…
continue reading
This is the audio podcast version of Troy Hunt's weekly update video published here: https://www.troyhunt.com/tag/weekly-update/
…
continue reading
1
Defensive Security Podcast - Malware, Hacking, Cyber Security & Infosec
Jerry Bell and Andrew Kalat
5k200
Defensive Security is a weekly information security podcast which reviews recent high profile cyber security breaches, data breaches, malware infections and intrusions to identify lessons that we can learn and apply to the organizations we protect.
…
continue reading
Software's best weekly news brief, deep technical interviews & talk show.
…
continue reading
Developer Tea exists to help driven developers connect to their ultimate purpose and excel at their work so that they can positively impact the people they influence. With over 17 million downloads to date, Developer Tea is a short podcast hosted by Jonathan Cutrell, engineering leader with over 15 years of industry experience. We hope you'll take the topics from this podcast and continue the conversation, either online or in person with your peers. Email: [email protected]
…
continue reading
1
Syntax - Tasty Web Development Treats
Wes Bos & Scott Tolinski - Full Stack JavaScript Web Developers
4k926
Full Stack Developers Wes Bos and Scott Tolinski dive deep into web development topics, explaining how they work and talking about their own experiences. They cover from JavaScript frameworks like React, to the latest advancements in CSS to simplifying web tooling.
…
continue reading
Best Business Podcast (Gold), British Podcast Awards 2023 How do you build a fully electric motorcycle with no compromises on performance? How can we truly experience what the virtual world feels like? What does it take to design the first commercially available flying car? And how do you build a lightsaber? These are some of the questions this podcast answers as we share the moments where digital transforms physical, and meet the brilliant minds behind some of the most innovative products a ...
…
continue reading
Show notes are at https://stevelitchfield.com/sshow/chat.html
…
continue reading
Every Friday and Sunday, Slate’s popular daily news podcast What Next brings you TBD, a clear-eyed look into the future. From fake news to fake meat, algorithms to augmented reality, Lizzie O’Leary is your guide to the tech industry and the world it’s creating for us to live in.
…
continue reading
Player FM - Podcast App
Go offline with the Player FM app!
Go offline with the Player FM app!
