Blog: Learn Machine Learning from a Google AI Engineer
Demystifying Prompt Engineering for the Enterprise
Prompt engineering for AI business applications isn’t as simple as asking a question. It’s a complex process that requires careful planning and continuous refinement, especially when you want your model to do things like summarize reports, extract insights from conversations, or answer questions based on a large knowledge base. Over the past couple of years, as a Software Engineer for the innovation factory within Google Cloud Office of the CTO, I’ve been knee-deep in prompt engineering, AI and Machine Learning for major business use cases, working on large innovation projects for a selection of clients, including automating drive-thru orders at Wendy’s.
Prompt engineering for AI business applications isn’t as simple as asking a question. It’s a complex process that requires careful planning and continuous refinement, especially when you want your model to do things like summarize reports, extract insights from conversations, or answer questions based on a large knowledge base. Over the past couple of years, as a Software Engineer for the innovation factory within Google Cloud Office of the CTO, I’ve been knee-deep in prompt engineering, AI and Machine Learning for major business use cases, working on large innovation projects for a selection of clients, including automating drive-thru orders at Wendy’s.
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 eight 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).
