A Tour of Gemini Code Assist - Slides and Demos

 Posted on 24 April 2024

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 →
GenAI  VertexAI  Gemini  Google Cloud Platform 

Vertex AI Gemini generateContent (non-streaming) API

 Posted on 26 February 2024

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 →
GenAI  VertexAI  Gemini  Google Cloud Platform 

Orchestrate Vertex AI’s PaLM and Gemini APIs with Workflows

 Posted on 22 February 2024

Everyone is excited about generative AI (gen AI) nowadays and rightfully so. You might be generating text with PaLM 2 or Gemini Pro, generating images with ImageGen 2, translating code from language to another with Codey, or describing images and videos with Gemini Pro Vision. No matter how you’re using gen AI, at the end of the day, you’re calling an endpoint either with an SDK or a library or via a REST API. Read More ↗︎
Workflows  Serverless  Google Cloud Platform  How To 

Using Vertex AI Gemini from GAPIC libraries (C#)

 Posted on 14 February 2024

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 →
GenAI  VertexAI  Gemini  Google Cloud Platform 

Using Vertex AI Gemini REST API (C# and Rust)

 Posted on 5 February 2024

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 →
GenAI  VertexAI  Gemini  Google Cloud Platform 

Test and change an existing web app with Duet AI

 Posted on 29 January 2024

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 →
GenAI  DuetAI  Google Cloud Platform 

Create and deploy a new web app to Cloud Run with Duet AI

 Posted on 23 January 2024

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 →
GenAI  DuetAI  Google Cloud Platform 

Announcing Workflows execution steps history

 Posted on 20 January 2024

As you orchestrate more services with Workflows, the workflow gets more complicated with more steps, jumps, iterations, parallel branches. When the workflow execution inevitably fails at some point, you need to debug and figure out which step failed and why. So far, you only had an execution summary with inputs/outputs and logs to rely on in your execution debugging. While this was good enough for basic workflows, it didn’t provide step level debugging information. Read More ↗︎
Workflows  Serverless  Google Cloud Platform  How To 

C# library and samples for GenAI in Vertex AI

 Posted on 11 December 2023

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 →
GenAI  VertexAI  Google Cloud Platform 

Deploy and manage Kubernetes applications with Workflows

 Posted on 1 December 2023

Workflows is a versatile service in orchestrating and automating a wide range of use cases: microservices, business processes, Data and ML pipelines, IT operations, and more. It can also be used to automate deployment of containerized applications on Kubernetes Engine (GKE) and this got even easier with the newly released (in preview) Kubernetes API Connector. The new Kubernetes API connector enables access to GKE services from Workflows and this in turn enables Kubernetes based resource management or orchestration, scheduled Kubernetes jobs, and more. Read More ↗︎
Workflows  Serverless  Google Cloud Platform  How To