Tuesday, October 27, 2026
1:00 PM – 2:30 PM PDT
Fine-Tuning Your Own LLM from an Open-Source Model
About this event
A technical Seattle AI Week talk on turning open-source LLMs into domain-specific models. It covers data quality, LoRA and QLoRA, the trade-offs against prompting or RAG, and evaluating custom models.
Skillsheet and Thinkspace host this Seattle AI Week technical session on adapting open-source language models to a particular product or domain. The talk follows the decisions involved in custom model work: when fine-tuning makes sense compared with prompting or RAG, how to prepare useful training data, and how to judge whether a tuned model improves outcomes.
The planned material includes parameter-efficient approaches such as LoRA and QLoRA, along with evaluation and deployment considerations. It is aimed at software and ML engineers, technical founders and product leaders working with AI products. The event runs Tuesday, October 27, from 1:00 PM to 2:30 PM at Thinkspace Seattle. Reserve a place through the official Luma registration.
Organized by
Skillsheet events produces go-to-market and startup-focused gatherings, including Seattle AI Week programming with Thinkspace.