Building a Large Language Model (LLM) specialized for PCB (Printed Circuit Board) and electronic component design requires a systematic approach spanning data collection, model architecture selection, training, evaluation, and deployment. This guide provides an in-depth walkthrough of the entire process.
This comprehensive blog post covers the essential aspects of data cleaning and preprocessing, providing a step-by-step guide with Python code examples. It's designed to be easy to understand for beginners while still offering valuable insights for more experienced data practitioners.