Masala-CHAI is a groundbreaking framework that automates SPICE netlist generation for analog circuits using large language models, addressing a fundamental challenge in electronic design automation.

• Creates a fully automated workflow for generating circuit netlists
• Accelerates development of fine-tuned LLMs for circuit design and verification
• Identifies and addresses key challenges in automated netlist generation
• Evaluates multimodal approaches for improved circuit design

This research has significant implications for electrical engineering, potentially transforming how integrated circuits are designed by reducing manual effort and accelerating development cycles.

Masala-CHAI: A Large-Scale SPICE Netlist Dataset for Analog Circuits by Harnessing AI