Machine learning at scale

Machine learning at scale

A Substack newsletter providing weekly expert insights on scalable machine learning systems and engineering practices.

About Machine learning at scale

Machine Learning at Scale is a dedicated Substack publication by Ludovico Bessi, offering weekly insights into advanced machine learning systems from leading tech firms. It aims to help ML engineers enhance their skills and become highly effective by covering topics like RAG architectures, LLM optimization, training techniques, and system design. The publication also features essential tools used by ML professionals and deep dives into specific technical areas.

How to Use

Subscribe to Machine Learning at Scale on Substack to receive weekly updates directly in your inbox. Explore past articles via the website and access additional resources like the upcoming YouTube channel and ML system design course.

Features

Upcoming YouTube channel for visual learning
In-depth coverage of ML topics
Future ML system design course
Tools and techniques used by ML engineers
Weekly curated insights
Archive of previous articles for reference

Use Cases

Designing scalable ML systems
Enhancing skills as an ML engineer
Learning advanced ML architectures
Staying current on ML tools and techniques

Best For

Machine Learning EngineersData ScientistsAI ResearchersSoftware DevelopersML Enthusiasts

Pros

Curated, high-quality content
Focus on practical applications
Insights from a Google ML expert
Covers essential ML topics

Cons

YouTube channel and course are upcoming
Currently mainly text-based content
Requires Substack subscription

Frequently Asked Questions

Find answers to common questions about Machine learning at scale

Who is behind Machine Learning at Scale?
The publication is authored by Ludovico Bessi, a Machine Learning engineer at Google.
What topics are featured in the newsletter?
It covers RAG systems, LLM optimization, training methods, ML system design, and essential tools for ML engineers.
How frequently is the newsletter sent?
The newsletter is published weekly.
Is there a cost to subscribe?
Subscription details are available on the website; it may be free or paid depending on the plan.
Can I access past articles?
Yes, previous editions are available in the online archive for reference.