Union Square Blog

Graphics Processing Units have roots deep in gaming, but they’re serious business when it comes to machine learning.

LLMs for data cleaning: Yay or nay?

Kubernetes guru Kelsey Hightower spoke with Union.ai about the business case for LLMs and AI and their potential to reshape the workplace. 

Do more with less: Refine the 70 billion parameter Llama 2 model on your dataset with a bunch of T4s

Large Language Models (LLMs) are this season’s hot technology topic, but what will it take to establish their lasting success in the enterprise?

A 5-minute cheatsheet outlining the challenges and solutions for building Large Language Models for production.

Friday afternoon, you’re browsing the website of your usual event-ticketing portal trying to find something interesting to do this weekend.

Artificial intelligence pipelines are infrastructure intensive. They may entail machine- or deep-learning models that are more iterative...

I’m super excited to announce the availability of Pandera 0.16! This release features a suite of improvements and bug fixes.

Large language models (LLMs) have taken the world by storm, revolutionizing our understanding and generation of human-like text.

Union.ai is excited to share that we will be attending and sponsoring the Toronto Machine Learning Summit conference happening from June 12-13.

Imagine you have a dataset of thousands of audio files that need to be transcribed.

The founder of VC Nava Ventures describes the big vision he sees for Union.ai.

Union Cloud enables any organization to operationalize complex AI with data ownership, governance and cost efficiency.

When to manipulate the input prompt and when to roll up your sleeves and update parameter weights.

The Union.ai team kept busy last week at PyData Seattle 2023.

We’re excited to announce that Union Cloud has achieved the SOC 2 Type II Certification for Security, Availability and Integrity.

Every year, PyData Seattle brings together experts, practitioners, and enthusiasts in the field of data science and machine learning.

The World’s Most Important Gathering of Data and Analytics Leaders

I had the chance to attend Cloud Native Security Con North America 2023, which ran Feb. 1 and 2 at the Seattle Convention Center.

So you’ve taken a few online courses in machine learning and landed a data scientist role in your first industry job.

Union.ai Systems Engineer Andrew Dye sat down with Demetrios Brinkmann and David Aponte of MLOps Community for an MLOps Coffee Session.

Tabular data is ubiquitous today and nowhere more so than in data-engineering and data science tasks, where inputs and outputs are typically...

One of the most challenging aspects of building machine learning-driven applications is what I like to call “the deployment chasm.”

I first learned about DataFrames very early in my data-science journey, learning Python and R in tandem.

Taking Flyte from the Comfort of your Browser

‍Union.ai’s Union Cloud management enables new ML and data products.

Kubernetes-native machine learning orchestrators are rocking the ML world: Kubeflow and Flyte™.

Union.ai CEO/co-founder and Flyte TSC Chair Ketan Umare was recently featured on an MLOps Community “Ask Me Anything” session.

Making data quality a first-class citizen in data and ML orchestration.

In music, orchestration is the process that ensures a large ensemble of individual instruments play their parts on time and in tempo.

Kelsey Hightower discusses Machine Learning in Production during a 90 minute Twitter Spaces event. Read the transcript.

Union.ai, provider of the open-source workflow orchestration platform Flyte and its hosted version, Union Cloud, today announced the release of ....

I entered the world of data science and machine learning almost 10 years ago, enamored with the idea that statistical models enable us to obtain in...

I founded Union.ai with a singular mission: to make orchestration of machine learning so easy and repeatable, teams of any size can use...

We all love “undoing” when things don’t work as expected. Imagine the pain we would have to experience without such an option; we can’t just revert to

2021 was a fantastic year for Flyte — 100+ features and 20+ integrations were added, 1000+ community members joined us, production deployments across

Machine Learning isn’t cheap. Chiefly, when one massive model or several multiple models are to be built, it eats up your time, money, and effort.