PinnedJose MDistributed Model Training & Frameworks on GCP — Tensorflow & PyTorch w/ Deep Learning (LLMs)Distributed Training uses parallel execution to accelerate training of Deep Learning models such as LLMs and LMMsNov 22, 2023Nov 22, 2023
PinnedJose MGoogle Cloud Professional Machine Learning Engineer Prep in 2023!ML ecosystems & architecture, Data Science, Cloud Infrastructure, and more at massive-scaleMar 7, 20231Mar 7, 20231
Jose MModel Serving & Monitoring on GCP—Machine Learning Platforms EngineeringML to the moon 🪐🤖Mar 13, 2023Mar 13, 2023
Jose MHey! Happy to help. This article needs a serious update and perhaps overhaul.Seems like you're targeting vizualization of notebook output for model regression, parameter tuning, or feature set selection.Sep 12, 2022Sep 12, 2022
Jose MHey! It's completely possible to, but highly unlikely. You will probably have a team of:- DevOps Engineer handling the provisioning and monitoring of infrastructureSep 12, 2022Sep 12, 2022
Jose MProduction-Ready Tech Stack for AI/ML, data, cloud, DevOps & more! (in 2020)“The unexamined life is not worth living.” — SocratesMay 11, 20203May 11, 20203
Jose MWhat exactly is AWS Amplify? Let’s find out!Time and time again I’ve heard differing definitions from interviewers, developers, colleagues and recruiters of what AWS Amplify actually…Apr 9, 2020Apr 9, 2020
Jose MAccessorizing PowerShell, remote debugging Linux (Deep Learning Series Pt 1.5)Training Deep Learning models requires an established workflow & IDE. PowerShell and WSL are at the core of said IDE on Windows!Feb 24, 2020Feb 24, 2020
Jose MUpgrading to PowerShell 6.2 in 2020 (Deep Learning series)Convert PS as your all-in-one shell for npm, conda, go, git & so on!Feb 23, 2020Feb 23, 2020