machine-learning

The latest news, opinions and technical guides from ZenML.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

ClearML Pricing Breakdown: Is the Platform Worth the Investment?

In this ClearML pricing breakdown, we discuss the costs, features, and value ClearML provides to help you decide if it’s the right investment for your business.
Read post

MLOps: What It Is, Why It Matters, and How to Implement It

An overview of MLOps principles, implementation strategies, best practices, and tools for managing machine learning lifecycles.
Read post

The Ultimate Guide to LLM Batch Inference with OpenAI and ZenML

OpenAI's Batch API allows you to submit queries for 50% of what you'd normally pay. Not all their models work with the service, but in many use cases this will save you lots of money on your LLM inference, just so long as you're not building a chatbot!
Read post

The ZenML VSCode Extension: Bridging Python and TypeScript

Community member Marwan Zaarab explains how and why he built a VS Code Extension for ZenML.
Read post

We're Revving Up ZenML: Exciting News and What It Means for You

ZenML secures an additional $3.7M in funding led by Point Nine, bringing its total Seed Round to $6.4M, to further its mission of simplifying MLOps. The startup is set to launch ZenML Cloud, a managed service with advanced features, while continuing to expand its open-source framework.
Read post
October 19, 2023
14 Mins Read

Will they stay or will they go? Building a Customer Loyalty Predictor

We built an end-to-end production-grade pipeline using ZenML for a customer churn model that can predict whether a customer will remain engaged with the company or not.
Read post
October 19, 2023
2 Mins Read

Podcast: Open-Source MLOps with Matt Squire

This week I spoke with Matt Squire, the CTO and co-founder of Fuzzy Labs, where they help partner organizations think through how best to productionise their machine learning workflows.
Read post

Podcast: Trustworthy ML with Kush Varshney

This week I spoke with Kush Varshney, author of 'Trustworthy Machine Learning', a fantastic guide and overview of all of the different ways machine learning can go wrong and an optimistic take on how to think about addressing those issues.
Read post

Podcast: Practical Production ML with Emmanuel Ameisen

This week I spoke with Emmanuel Ameisen, a data scientist and ML engineer currently based at Stripe. Emmanuel also wrote an excellent O'Reilly book called 'Building Machine Learning Powered Applications', a book I find myself often returning to for inspiration and that I was pleased to get the chance to reread in preparation for our discussion.
Read post
Oops, there are no matching results for your search.