Recently, I had the opportunity to spend some time on an image clustering challenge. Let’s imagine you have a collection of images of several buildings with different styles. The rules are simple: you don’t know the style of the building in each image, and you don’t have enough data for…

In the Getting started with Chirp blog post, you learned about Chirp, a Google Cloud’s 2B-parameter speech model which is able to transcribe audio content for over 100 languages. The article provided a step-by-step guide on how to get started with Chirp on Vertex AI using Cloud Speech-to-Text API (v2). …

written in collaboration with G. Hussain Chinoy Introduction Foundational models are impacting the way we solve real-world challenges including Automatic Speech Recognition (ASR). On Google Vertex AI, you can access Chirp, a 2B-parameter speech model which achieved incredible accuracy improvements in speech recognition over several languages. As a developer interested in…

During this year, I presented Vertex Explainable AI several times. One of the most frequent questions I received was: Can I explain a text model with Vertex AI? In this blog post of the Vertex AI Q&A series , I will show you how to get feature-based explanations using Vertex…

Tracking your ML experiments is fundamental during the process of model development for many reasons, including debugging, compliance and cost saving. On Vertex AI, you can run your experiments using Vertex AI Training and you can track your parameters and metrics using Vertex AI Experiments. So far, as a data…

Since the launch of Vertex AI, I have been deploying models faster than I ever have before. In the simplest scenario, Vertex AI provides prebuilt managed container images, allowing you to serve your models from a script. But here is the question: What if existing Vertex AI pre-built container images…

These days I am reading Reliable Machine Learning by Cathy Chen, Niall Richard Murphy, Kranti Parisa, D. Sculley, and Todd Underwood. In chapter 6, they talk about Fairness, Privacy, and Ethical ML Systems, and they point to some considerations for building responsible ML pipelines. According to the book, building a…

Before holiday season, Nikita Namjoshi published this video about PyTorch on Vertex AI. At minute 1:00, she says that With the TorchX adapter you can orchestrate TorchX components as part of Kubeflow pipelines that you can run on Vertex AI Pipelines. This idea of using TorchX on Vertex AI made…

One of the questions @ MLOps on Google Cloud CloudAir webinar was: How do you use Feature Store in the MLOps process on Vertex AI? Because it is not the first time I receive this question, I take it as an opportunity to write the 1st article of the Vertex…