Hands-on LLM Fine-Tuning Workshop
Event Abstract
A full-day, laptops-open workshop on fine-tuning open-weight language models — from dataset preparation and LoRA adapters to evaluation that catches regression, not just improvement.
Bring a laptop with 16GB RAM; GPU compute is provided by the chapter. You will leave with a fine-tuned model, a reproducible training script, and an evaluation harness you can reuse in your own projects.
Agenda & Time Schedule
- 10:00
Why and when to fine-tune (and when not to)
Elena Marchetti
- 11:00
Dataset preparation & data quality triage
- 13:00
LoRA/QLoRA training lab on chapter GPUs
- 15:00
Evaluation harness: catching silent regressions
Priya Natarajan
- 16:30
Demo hour & open troubleshooting
Keynote Speakers & Track Leads
Elena Marchetti
Executive Director, GDTS
Priya Natarajan
ML Engineer & track mentor
Ananya Iyer
Chapter Lead, Bengaluru
Venue & Logistics
GDTS Hub, Indiranagar, Bengaluru
Format: In-person · Capacity: 40 seats
Detailed access instructions, room assignments, and streaming credentials will be dispatched to confirmed attendees 48 hours prior to the event start time.
Frequently Asked Questions
What skill level do I need?
Comfortable with Python and basic PyTorch. We provide a pre-workshop refresher notebook two weeks ahead.
Do I need my own GPU?
No — the chapter provides shared GPU capacity for the training labs.
Is there a waitlist?
Yes. When seats fill, we open a waitlist and run a repeat session if demand justifies it.
Event Gallery & Archives
Symposium Recordings & Photo Archives
Photo archives and slide decks are published to the member library within 7 days following event completion.