EE-GPT

EE-GPT is a specialized GPT aimed at serving the electrical engineering community. It functions as both a search engine and a troubleshooter, helping its users navigate through complex topics related to electrical engineering.

Its design encourages an open-source community ethos, making it possible for users to not only ask questions but also submit corrections and feedback.

This interactive aspect helps ensure that the tool remains relevant, accurate, and up to date, thus supporting the ongoing learning and collaboration within its user base.

The developer behind EE-GPT is Zhaoyi Liu, a Ph.D. student at UCSD. EE-GPT is built upon ChatGPT and requires this platform to function. The GPT welcomes users with a message and provides various prompts to get started, reflecting a range of tasks it can help with.

These range from computations related to CS amplifiers, drafting application-specific codes such as a SR latch in Verilog or a PCA code in Python, and even setting up S-parameter test benches in Cadence.

However, EE-GPT is not just about providing prefabricated solutions. It also encourages contributions from its users. For example, users can suggest changes or improvements using the '*CORRECTION*' command.

Essentially, EE-GPT is striving to create an interactive, collaborative tool where users are both learners and contributors to the ever-evolving knowledge base of electrical engineering.