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.
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 Ba...
Dialogflow CX Competition — Learn Dialogflow CX & Design Open-Source Components
Since we can’t run any Dialogflow community in-person events this year, we came up with another g...
The Definitive Guide to Conversational AI With Dialogflow & Google Cloud. for Building Complex Chatbots, Voicebots and Telephony Agents.
After I wrote my first book (Hands-on Sencha Touch 2 — O’Reilly), people always asked me if I wou...
How to Integrate Dialogflow With Your Flutter App
The Hidden Manual for building a gRPC Flutter Dart integration.
Learn how to use the gRPC API in ...