Blog: Learn Machine Learning from a Google AI Engineer
Podcast Shaping the Future Generative AI and Large Language Models
Podcast Shaping the future Generative AI and Large Language Models (LLMs), such as ChatGPT and Bard.
In this interview, I discussed with Saskia Nijs (Chief Human & Technology Officer) and Jimmy de Vreede (Springbok Agency and DDMA Committee) how LLMs like ChatGPT and Bard work, the benefits and drawbacks of this new technology, and the future for marketeers.
Lee Boonstra
Lee Boonstra (they/them) has been a presence in the tech world since 2007, wearing many hats from AI software engineer to prompt engineer, web developer to technical trainer, and developer advocate.
With ten years of experience at Google (and AI) under their belt, they now hold the role of AI Software Engineer (SWE) at the Google Cloud office of the CTO. Leading innovation projects, Lee aims to disrupt markets and foster collaboration globally. Their expertise in Conversational and Voice technology, alongside (Generative) AI, has led to recognition as a respected public keynote speaker and published author for O’Reilly and Apress. Lee eases tech headaches and celebrates those light bulb moments.
Lee has written the Google/Kaggle Prompt Engineering whitepaper and two books: "Hands-on Sencha Touch 2" (O'Reilly) and their more recent work, "The Definitive Guide to Conversational AI with Dialogflow and Google Cloud" (Apress).
Dialogflow CX Competition — Learn Dialogflow CX & Design Open-Source Components
The Definitive Guide to Conversational AI With Dialogflow & Google Cloud. for Building Complex Chatbots, Voicebots and Telephony Agents.
How to Integrate Dialogflow With Your Flutter App
