GenAI

Introduction Back in December, Google announced Gemini, its most capable and general model so far available from Google AI Studio andGoogle Cloud Vertex AI. The Try the Vertex AI Gemini API documentation page shows instructions on how to use the Gemini API from Python, Node.js, Java, and Go. That’s great but what about other languages? Even though there are no official SDKs/libraries for other languages yet, you can use the Gemini REST API to access the same functionality with a little bit more work on your part. Read More →

In the Create and deploy a new web app to Cloud Run with Duet AI post, I created a simple web application and deployed to Cloud Run using Duet AI’s help. Duet AI has been great to get a new and simple app up and running. But does it help for existing apps? Let’s figure it out. In this blog post, I take an existing web app, explore it, test it, add a unit test, add new functionality, and add more unit tests all with the help of Duet AI. Read More →

I’ve been playing with Duet AI, Google’s AI-powered collaborator, recently to see how useful it can be for my development workflow. I’m pleasantly surprised how helpful Duet AI can be when provided with specific questions with the right context. In this blog post, I document my journey of creating and deploying a new web application to Cloud Run with Duet AI’s help. I also capture some lessons learned along the way to get the most out of Duet AI. Read More →

In my previous post, I talked about multi-language libraries and samples for GenAI. In this post, I want to zoom into some C# specific information for GenAI in Vertex AI. C# GenAI samples for Vertex AI If you want to skip this blog post and just jump into code, there’s a collection of C# GenAI samples for Vertex AI. These samples show how to invoke GenAI from C# for different use cases such as text classification, extraction, summarization, sentiment analysis and more using the C# client library. Read More →

You might think that you need to know Python to be able to use GenAI with VertexAI. While Python is the dominant language in GenAI (and Vertex AI is no exception in that regard), you can actually use GenAI in Vertex AI from other languages such as Java, C#, Node.js, Go, and more. Let’s take a look at the details. Vertex AI SDK for Python The official SDK for Vertex AI is Vertex AI SDK for Python and as expected, it’s in Python. Read More →

Introduction In my previous couple posts (post1, post2), I shared my detailed notes on Generative AI Learning Path in Google Cloud’s Skills Boost. It’s a great collection of courses to get started in GenAI, especially on the theory underpinning GenAI. Since then, I discovered another great resource to learn more about GenAI: Learn Generative AI Short Courses by DeepLearning.AI from Andrew Ng. In this post, I summarize what each course teaches you to help you decide which course to take. Read More →

If you’re looking to upskill in Generative AI, there’s a Generative AI Learning Path in Google Cloud Skills Boost. It currently consists of 10 courses and provides a good foundation on the theory behind Generative AI. As I went through these courses myself, I took notes, as I learn best when I write things down. In part 1 of the blog series, I shared my notes for courses 1 to 6. Read More →

If you’re looking to upskill in Generative AI (GenAI), there’s a Generative AI Learning Path in Google Cloud Skills Boost. It currently consists of 10 courses and provides a good foundation on the theory behind Generative AI and what tools and services Google provides in GenAI. The best part is that it’s completely free! As I went through these courses myself, I took notes, as I learn best when I write things down. Read More →