In this blog post, we are going build and push an Docker image with variables. This image includes an instance of FastAPI, which serves a machine learning model. The image will be stored on Google Container Registry, and the whole process is managed using Google Cloud Build. If you’ve ever ventured into the complex realm […]
MLOps: O que é, como usar e introdução aos benefícios
Entenda o que é MLOps, como ele se encaixa no ecossistema de machine learning e como você pode usá-lo para otimizar todo o fluxo de trabalho
MLOps: Why Do We Need It? An intro about the benefits of MLOps
Understand what MLOps is, how it fits into the larger machine learning ecosystem and how you can use it to streamline your entire ML workflow
Análise de Sentimentos com TFX Pipelines — Local Deploy
Construa uma pipeline TFX local, crie um modelo de análise de sentimentos utilizando a arquitetura Transformer e disponibilize o modelo com TF Serving
CI/CD para TFX Pipelines com Vertex e AI Platform
Faça o deploy de uma TFX Pipeline com Vertex Pipelines, disponibilize seu modelo na AI Platform e construa uma pipeline de CI/CD para escalar seu sistema
CI/CD for TFX Pipelines with Vertex and AI Platform
Deploy a TFX Pipeline with Vertex Pipelines, serve your model on AI Platform, monitor your requests and build a CI/CD pipeline to scale your system
Sentiment Analysis with TFX Pipelines — Local Deploy
Build a local TFX pipeline, create a sentiment analysis model using the Transformer architecture and serve the model with TF Serving
How I deployed my first machine learning model
Processes and tools I used to deploy my first commercial machine learning model with TFX Pipelines and CI/CD integrations
Como eu fiz o deploy do meu primeiro modelo de machine learning
Processos e ferramentas que utilizei para fazer o deploy do meu primeiro modelo de machine learning comercial