[AI Week] Fine-Tuning Your Own GTM LLM from an OSS Model

[AI Week] Fine-Tuning Your Own GTM LLM from an OSS Model Want a model that knows your domain, speaks in your product's voice and runs on infrastructure you control? In this talk, you'll learn how teams take open-source LLMs and fine-tune them into custom models, and what it takes to do it well. The talk walks through the full journey: when fine-tuning is (and isn't) the right choice compared with prompting or RAG, how to build a high-quality training dataset, parameter-efficient methods like LoRA and QLoRA, and how to tell whether your fine-tuned model actually performs better. You'll leave with a clear mental model and a practical playbook for building on open-source foundations. Who it's for Software engineers and ML/AI engineers Technical founders and product leaders who are building AI products Anyone weighing open-source models against off-the-shelf APIs Key takeaways How to choose the right open-source base model for your use case What makes training data good (and what quietly ruins it) Fine-tuning approaches and their trade-offs in cost, speed and quality How to evaluate, deploy and keep improving a custom model Details📅 Tuesday, October 27 · 2:00 – 3:00 PM📍 Thinkspace Seattle, 1700 Westlake Ave N #200, Seattle🎟 Spots are limited, so please register to save your seat Speaker: Joel Horwitz --------- AI Days at Thinkspace in partnership with Skillsheet. Details to Follow. For speaker, hosting, sponsorship opportunities contact: aniket@skillsheet.me, peter@thinkspace.