ML Ops Articles

This post introduces continuous checkpointing in Orbax and MaxText, a feature designed to maximize training reliability and I/O utilization with minimal performance overhead.

Lyft

31 min read

Machine Learning•2026-03-30

Predicting Rider Conversion in Sparse Data Environments with Bayesian Trees

This post describes how Lyft built a Bayesian hierarchical tree model to predict rider conversion in real-time under sparse data conditions.

Machine Learning•2026-03-25

Tevogen Bio’s Journey to Streamlining Life-Saving Therapies

Tevogen Bio partnered with Microsoft and Databricks to accelerate drug discovery using AI and large-scale data engineering.

Industries

Healthcare & Life Sciences

Airbnb

41 min read

Machine Learning•2026-03-24

What COVID did to our forecasting models (and what we built to handle the next shock)

Airbnb explains how COVID broke their booking-to-trip forecasting models and the architectural changes they built to handle structural data shifts.

Machine Learning•2026-03-20

MLOps Frameworks: A Complete Guide to Tools and Platforms for Production ML

This guide covers the most widely adopted MLOps frameworks and how to evaluate them for production machine learning deployments.

Data + AI Foundations

Hugging Face

11 min read

Machine Learning•2026-03-20

Build a Domain-Specific Embedding Model in Under a Day

This post presents a pipeline to fine-tune a domain-specific embedding model in under a day on a single GPU without manual labeling.

Friend Bubbles: Enhancing Social Discovery on Facebook Reels

This article details the technical architecture of Facebook's Friend Bubbles feature on Reels, which surfaces content that friends have liked or reacted to.

ML Applications

Databricks

71 min read

Machine Learning•2026-03-17

Uncovering Data Science: Skills, Careers and Education

This article provides a comprehensive overview of data science, covering its core skills, career roles, and education pathways.

Data + AI Foundations

Airbnb

81 min read

Machine Learning•2026-03-12

Recommending Travel Destinations to Help Users Explore

Airbnb describes how they built a destination recommendation model to help exploratory users in the trip planning stage discover and narrow down travel destinations.

Machine Learning•2026-03-10

Keep the Tokens Flowing: Lessons from 16 Open-Source RL Libraries

This post surveys 16 open-source reinforcement learning libraries to understand how they implement asynchronous training architectures that decouple inference from training.

Hugging Face

21 min read

Machine Learning•2026-03-10

Introducing Storage Buckets on the Hugging Face Hub

Hugging Face introduces Storage Buckets, a mutable S3-like object storage system on the Hub designed for intermediate ML artifacts such as checkpoints, optimizer states, and processed datasets.

Hugging Face

21 min read

Machine Learning•2026-03-09

Ulysses Sequence Parallelism: Training with Million-Token Contexts

This post explains Ulysses Sequence Parallelism (SP), a technique from Snowflake AI Research for training LLMs on sequences up to millions of tokens by distributing attention computation across GPUs.