Events

Join us live for an inside look at how Union.ai is simplifying real-time serving for models and applications—no complex infrastructure configuration required.

Training complex AI models at scale requires orchestrating multiple steps into a reproducible workflow and understanding how to optimize resource utilization for efficient fine-tuning.

We demonstrate the use of Flyte and the Union.ai platform, as a workflow orchestration system for constructing large-scale Xarray mosaics using GDAL’s new GTI driver.

Modern AI systems are increasingly complex, requiring seamless integration of diverse components, robust governance, and scalable infrastructure.

Generative AI models have matured to the point where we can use LLMs as a natural language interface to build compound AI systems, where multiple models of different modalities work together to form a single, coherent application.

A key stage in the MLOps process is about delivering your model to your users in a way that meets functional and business requirements.

Join this fireside chat as we speak with John Gilhuly, Head of Developer Relations at Arize about AI Observability for LLMs.

With ML systems and AI-augmented applications becoming prominent components of the software infrastructure, they are also a very attractive target for malicious actors.

Join this workshop designed to help you get started with Pandera, a powerful Python library for data validation and quality assurance.

This workshop will equip you with the skills to effectively build your ML pipelines and reliable AI workflows using Python, scikit-learn and Flyte/Union.

Training today's complex AI models requires combining various steps into an interconnected workflow. Modern MLOps/LLMOps tooling helps you scale your AI training by orchestrating these workflows.

This workshop will equip you with the skills to effectively build your ML pipelines and reliable AI workflows using Python, scikit-learn and Flyte/Union.

This workshop will equip you with the skills to effectively build your computer vision and ML pipelines using Python, PyTorch and Flyte/Union.

Major progress in machine learning (ML) has led to a corresponding boom in the broader artificial intelligence (AI) space, opening up commercial applications in text, image, audio, and video generation.

Training today's complex AI models requires combining various steps into an interconnected workflow.

This workshop will equip you with the skills to effectively build your ML pipelines and reliable AI workflows using Python, scikit-learn and Flyte/Union.

Join this hands-on virtual workshop to learn how to build reliable computer vision pipelines for object detection

Training today's complex AI models requires combining various steps into an interconnected workflow.

Most modern chatbots today use Large Language Models(LLMs), Retrieval Augmented Generation(RAG), and scalable workflows to create a unique conversational experience!

Join us to learn from Victor Delépine how Wayve simplified ML research workflows using Flyte.

We are excited to host a guest speaker from Arize, who will present on the topic of Evaluating Agents.

This workshop will equip you with the skills to effectively build your ML pipelines and reliable AI workflows using Python, scikit-learn and Flyte/Union.

Training today’s complex AI models requires combining various steps into an interconnected workflow.

This workshop will equip you with the skills to effectively build your ML pipelines and reliable AI workflows using Python, scikit-learn and Flyte/Union.

Join this fireside chat as we speak with Cam Young, a Senior Solutions Architect at Arize about AI Observability for LLMs.

Union.ai would like to invite you to our “Meet the experts” Q&A session.

This workshop will equip you with the skills to effectively build your AI pipelines and reliable ML workflows using Python, scikit-learn and Flyte/Union.

Join this fireside chat as we speak with Leo Dirac CTO and Co-founder of Groundlight about the future of computer vision and robotics!

Most modern chatbots today use Large Language Models(LLMs), Retrieval Augmented Generation(RAG), and scalable workflows to create a unique conversational experience!

Join this fireside chat as we speak with Mark Huang, co-founder of Gradient about Improving Agentic Workflows with Longer Context!

Most modern chatbots today use Large Language Models(LLMs), Retrieval Augmented Generation(RAG), and scalable workflows to create a unique conversational experience!

Brain.Space's mission is providing the world with deep neural AI models.

Join this fireside chat as we speak with Jason Koo about Advanced RAG techniques with Graph Databases for LLMs!

Join this hands-on workshop at the Union.ai office in Bellevue to implement scalable workflows for LLMs.

Join this fireside chat to learn the how to monitor and evaluate LLMs in production

Join this fireside chat as we speak with Timothy Chan from Statsig about user experimentation for AI applications.

Join this fireside chat as we speak with Rajat Arya about the Challenges of Building an ML Platform.

Agent is a long-running stateless service that can be used to execute tasks.

The Flyte journey at Wallapop & FlyIn Plugin: Develop ML models interactively on Flyte

In this session, Samhita will guide attendees on building and executing data and ML pipelines with Flyte.

Join this fireside chat as we speak with Yujian Tang about the role of vector databases in LLMOps.

Join next week's community meeting to learn how Flyte empowers bioinformaticians to focus on executing reproducible workflows.

We'll go from an empty GCP project to a production-grade Flyte deployment in a matter of minutes.

Delve into the QuantumBlack AI Labs team’s narrative.

Join this fireside chat as we speak with Jacob Marks about how LLMs are transforming computer vision!

Niels will demonstrate how to use Flyte, a Linux Foundation open-source orchestration platform to fine-tune a LLM on the Flyte codebase itself.

Discover how the Union platform can be managed on your AWS instances to power your production-level data and AI workloads. 

Large Language Models (LLMs) have surged in popularity over recent years, emerging as a frontier in the field of artificial intelligence.

Join this session to learn how Eric is leveraging the system architecture of Sources, Summary Service, and Communication Channels.

Jose Navarro will go through the requirements they had to adopt a pipeline orchestrator.

Flyte plugins are extensions or integrations that enhance the functionality of the Flyte platform.

Virtual Workshop: Learn Your Codebase: Fine-tuning CodeLlama with Flyte to Learn Flyte

Join us for happy hour and hear from Seattle's leading changemakers in industry, academia, and non-profit.

Jing Xie and Hui Chen will introduce the new Memory Machine Cloud integration with Flyte.

Sequencing data is the foundation of many biotech companies today as it serves as a blueprint at the molecular level.

We’ll be exploring the different Flyte deployment paths and resources available while using some of them to build a Flyte environment from scratch.

Join Chief ML Engineer, Niels Bantilan, for an insightful talk on data testing and its importance in data science and machine learning.

We’ll be at Ray Summit on Monday, September 18th from 1-4 pm networking and listening in on the approaches various teams use to build extensive AI applications.

Flyte is a Kubernetes-native platform built with multiple components designed to help Data Scientists and ML Engineers handle complexity on a cost-efective manner.

Cradle helps biologists design improved proteins in record time using powerful prediction algorithms and AI design suggestions.

Join us for this event hosted by Arc.dev with Chief ML Engineer at Union.ai, Niels Bantilan on fine-tuning LLMs with ML orchestration.

As Kubernetes adoption continues to soar, data scientists are presented with an opportunity to transform their workflow and drive innovation with enhanced scalability, agility, and resource optimization.

To access the full potential of large language models for enterprise use, careful consideration and the right approach are key.

Join us for an event that offers a practical, in-depth overview of Machine Learning orchestration using the open-source platform Flyte, one of the leading orchestration tools.

During the session, Emeli will demonstrate how you can add data and ML model tests to your production pipelines using Evidently, an open-source Python library.

Keming Yang will showcase how envd enables you to get your AI/ML dev environment instantly running.

Join us for an event that offers a practical, in-depth overview of Machine Learning orchestration using the open-source platform Flyte.

In this talk, Jay Chia, Co-founder of Eventual Inc, will introduce and demonstrate the Daft project.

Join Union’s Chief ML Engineer, Niels Bantilan, at SciPy 2023 on July 11 at 1:30 PM CST for a tutorial.

Join the June 27th Flyte Community Sync to discover how Recogni leverages Flyte to automate their pipelines.

Union is sponsoring the Toronto Machine Learning Summit this year! 

The May 2nd Flyte Community Sync features Mick Jermsurawong, ML Infra Engineer at Stripe.

Union will be at PyData Seattle this year as a sponsor! Be sure to catch us at the conference at any of these places:

Join Niels Bantilan at the Monthly Machine Learning Meetup in Atlanta as he dives into the fundamentals of type-safe, reproducible, and scalable data pipelines.

Stephen Batifol, ML Engineer at Wolt, is speaking at ArgoCon in Amsterdam!

Tim Leonard, Insights Manager at Spotify, will be speaking at the Flyte Community Sync about the powerful mechanism Flyte has for programmatically registering workflows via ImperativeWorkflows.

Greg Gydush will be speaking at this Flyte Community sync to demonstrate Freenome’s approach to empowering researchers.

The Flyte Community Sync on March 21st will feature Sam Cox from Shift Technologies, sharing their success story of breaking out of legacy systems with Flyte.

Join Katrina Rogan at the Monthly Machine Learning Meetup in Silicon Valley.

Roboception’s Felix Ruess will be talking about their use of Flyte in their ML workflows.

Sören Brunk will talk about applying AI to the USU portfolio to automate tasks and present their customers with a better experience.

Learn why pipeline orchestration is important and how to navigate the challenges of building data and ML pipelines with Samhita Alla.

Sujith Samuel talks about how Nokia used Flyte to provide their data scientists with a single UI unifying their multiple internal ML tools.

Eduardo Apolinario will be giving an introductory tour of Flyte and exploring how it authors Machine Learning and data pipelines.

Dr. Jennifer Prendki and Yash Panchwatkar explain Alectio's core DataPrepOps platform and how large dataset management was crucial to their success.

Software Engineer Kevin Su at Union.ai and Machine Learning Engineer Evan Sadler at HBOMax/Warner Bros Discovery introduce and demonstrate the new Flyte + Databricks plugin.

Join Katrina Palen & Rahul Mehta who will talk about their journey with Flyte™.

We are discussing the results from a semi-structured interview study of ML engineers spanning different organizations and applications to understand their workflow, best practices, and challenges.

MLOps encapsulates the discipline of – and infrastructure that supports – building and maintaining machine learning models in production.

Listen to Bernhard Stadlbauer & Marie Hoeger talk about their journey in their discovery & utilization of Flyte™.

Flyte Community Sync with Calvin Leather on how Embark Veterinary utilizes Flyte™.

The Cloud Native Computing Foundation’s flagship conference gathers adopters and technologists from leading open source and cloud native communities.

Ray and Flyte: Distributed Computing and Orchestration

The Place for Everything Ray

What does an end-to-end ML workflow look like in production?