Fine-tune AI Models Using Labeled SOPs, Machine Logs, Inspection Records, and Supplier Documentation to Understand Domain-specific Terminology and Formatting

Presentation by Walid Amamou, Founder & CEO of UBIAI as part of the 2025 ATCx AI for Engineers conference.

As manufacturers increasingly adopt generative AI to optimize operations, the limitations of generic large language models (LLMs) become clear; they lack domain-specific understanding, deliver inconsistent results, and often hallucinate information. In this talk, we will explore how fine-tuning LLMs with manufacturing-specific data unlocks reliable, high-accuracy AI assistants tailored to real-world use cases such as SOP automation, compliance checks, and supplier risk management. Attendees will learn how to leverage proprietary data for operational AI success in smart manufacturing.