Python talk night at Boundary ML

Join us for an exciting talk night at Boundary ML in Capitol Hill!

Agenda:

5:30-6pm: Doors open/networking
6-6:10pm: Opening remarks
6:10-6:35pm: Talk #1
6:35-6:50pm: Intermission
6:50-7:05pm: Lightning talk
7:05-7:30pm: Talk #2
7:30pm-8pm: Networking
After party to follow at Rachel's Ginger Beer (1610 12th Ave, Seattle, WA) 98122

What we'll do:

This event will feature the following presentations:

Talk #1: Large Scale Classification with LLMs (1000+ categories)
Speaker: Vaibhav Gupta
Description: LLMs are great at classification from 5, 10, maybe even 50 categories. But how do we deal with situations when we have over 1000? Perhaps its an ever changing list of categories?

Lightning talk: What is the opposite of AI
Speaker: Nick Buker
Description: In this discussion we will tackle a real chemistry/physics problem using not AI. No GPUs will be harmed.

Talk #2: Going from Notebooks to Scalable Systems
Speaker: Catherine Nelson
Description: Jupyter Notebooks are a fantastic tool that make it very easy to get started on a project. But often, you’ll reach a point where you want to make your code part of a larger system, and you’ll need to change your way of working. You’ll need to go from code that gives you some insights or results to robust, reproducible code that runs automatically. In this talk, I’ll explain strategies that will help you smoothly refactor your code. I’ll introduce tools that will help you, and discuss the skills that you’ll need. Whether you're a data scientist looking to productionize your models or a developer working with data-heavy applications, you'll gain practical knowledge to help you move from exploratory notebooks to robust, scalable systems.

What to bring:

Since this is a talk format meetup, you don't need a computer. Banh Mis and Fresh rolls will be provided from Saigon Vietnam Deli.

All attendees are required to abide by the PuPPy Code of Conduct, you can read the Code of Conduct here: https://www.pspython.com/code-of-conduct/

Building access:
Someone will be manning the door until 6:30pm. We cannot guarantee access after 6:30pm.

Parking:
Paid parking can be found on the north side of E Madison St and E Pike St.