// Abstract

Let's explore the relationship between Union and Flyte, emphasizing the significance of community-driven development and the challenge of balancing feature requests with security considerations. This conversation highlights the importance of real-time data and secure data handling in orchestrating machine learning models. The Flyte community's empathy and support for newcomers underscore the community's value in democratizing machine learning, making it more accessible and efficient for a broader audience.

// Bio

Ketan Umare is the CEO and co-founder at Union.ai. Previously he had multiple Senior roles at Lyft, Oracle, and Amazon ranging from Cloud, Distributed storage, Mapping (map-making), and machine-learning systems. He is passionate about building software that makes engineers' lives easier and provides simplified access to large-scale systems. Besides software, he is a proud father, and husband, and enjoys traveling and outdoor activities.

// MLOps Jobs board

https://mlops.pallet.xyz/jobs

// MLOps Swag/Merch

https://mlops-community.myshopify.com/

// Related Links

Website: https://union.ai/

Flyte: https://flyte.org/

⁠

--------------- ✌️Connect With Us ✌️ -------------

Join our slack community: https://go.mlops.community/slack

Follow us on Twitter: @mlopscommunity

Sign up for the next meetup: https://go.mlops.community/register

Catch all episodes, blogs, newsletters, and more: https://mlops.community/

Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/

Connect with Stephen on LinkedIn: https://www.linkedin.com/in/stephen-batifol/

Connect with Ketan on LinkedIn: https://www.linkedin.com/in/ketanumare/

Timestamps:

[00:00] Ketan's preferred coffee

[01:05] Takeaways

[03:08] Please like, share, and subscribe to our MLOps channels!

[03:15] Shout out to Ketan and UnionAI for sponsoring this episode!

[04:23] Orchestration recent changes

[07:51] Community with Flyte

[11:26] ML orchestration

[15:40] 50/50 is generous

[20:06] Real-time ML

[21:15] Over engineering without benefits

[23:20] Balancing everything

[27:40] Union verse Flyte

[32:52] High value features of Union AI at the back of Flyte

[40:18] Building LLM infrastructure

[45:30] Traditional ML is the whole prompting

[46:46] LLMs to evaluating prompts

[48:55] Wrap up