ATO Meetup: Fine-Tune Your First Open Source Model in 30 Minutes — A Live Walkthrough
The topic is wildly interesting and sure to educate and entertain — “Fine-Tune Your First Open Source Model in 30 Minutes: A Live Walkthrough”.
Also, we plan to add a second speaker soon — be on the lookout. This is the final meetup before All Things Open 2026. We want it to be special and deliver a ton of value.
Doors open at 6:00 pm for networking, food and beverages, and tons of (free) swag. Live programming begins at 6:30 sharp.
- Speaker: Nihal Kaul, Lead Software Engineer, Revscale AI
- Topic: Fine-Tune Your First Open Source Model in 30 Minutes: A Live Walkthrough
- Abstract: This 30-45 talk walks through fine tuning a small open source model on a real dataset, live on stage, using a free Google Colab GPU. The audience sees the full workflow from dataset prep through training to a working fine-tuned model. The best part.. Nihal shares the notebook with attendees so they can run it themselves after the session.
- Venue Location & Directions: Location: Fidelity Investments, Durham, NC. If you enter “Select Dr, Durham, NC” into your navigation it will take you to the parking lot access road and then just follow the signs to Visitor parking and then to the building we will be meeting in. Once you have arrived at the Guest Parking area, proceed to the large building on the left.
Registration and Government ID Required
Please note, security protocols onsite require everyone attending to register ahead of time using your first and last name as it appears on your government ID. By RSVP’ing for this meetup on Meetup.com you are “registering” for the event.
You’ll need to bring that ID with you to the event. Upon entry you will be directed to a table where your id will be checked and you will be given your pre-registered nametag and you will be escorted into the event space. This will help speed you through the lobby and get you to the food, swag, and content without delay.
Speaker: Nihal Kaul
Nihal Kaul is a Lead Software Engineer at Revscale AI who builds scalable, cloud-native systems. He works across distributed systems, infrastructure, and reliability, with a focus on applied AI development, building persistent, context-aware agents that make products more adaptive and useful. He is also an open source contributor and maintainer, currently involved in building reader.dev.
Questions? Contact us at info@allthingsopen.org.
The event is free but registration is required.