Gemini

This week, I’m speaking at 3 meetups on Gemini Code Assist. My talk has a little introduction to GenAI and Gemini, followed by a series of hands-on demos that showcase different features of Gemini Code Assist. In the demos, I setup Gemini Code Assist in Cloud Code IDE plugin in Visual Studio Code. Then, I show how to design and create an application, explain, run, generate, test, transform code, and finish with understanding logs with the help of Gemini. Read More →

Introduction In my recent blog post, I’ve been exploring Vertex AI’s Gemini REST API and mainly talked about the streamGenerateContent method which is a streaming API. Recently, a new method appeared in Vertex AI docs: generateContent which is the non-streaming (unary) version of the API. In this short blog post, I take a closer look at the new non-streaming generateContent API and explain why it makes sense to use as a simpler API when the latency is not super critical. Read More →

Introduction In my previous Using Vertex AI Gemini REST API post, I showed how to use the Gemini REST API from languages without SDK support yet such as C# and Rust. There’s actually another way to use Gemini from languages without SDK support: GAPIC libraries. In this post, I show you how to use Vertex AI Gemini from GAPIC libraries, using C# as an example. What is GAPIC? At this point, you might be wondering: What’s GAPIC? Read More →

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 →