Hardware Description Languages (HDLs) such as VHDL are very difficult to master. On the other hand, there was a demand in the market for a simplified solution for developers as it is essential to utilize the computing power of FPGAs in digital designs.

In this webinar, a methodology and examples for creating necessary specifications or defining functions using AI language models such as ChatGPT and generating VHDL code that meets the requirements were revealed.

Liquid Instruments (hereinafter referred to as Liquid) recently hosted a webinar titled 'ChatGPT: Essential Strategies for Smarter Testing Using AI' at e4ds EEWebinar.

FPGAs used in test and measurement are widely used because of their advantages in high-speed processing, custom design, flexibility, and reliability.
Ben Nizette, Product Director at Liquid Instruments, demonstrated how to build a custom hardware solution that dramatically simplifies the design of desired features by combining the capabilities of ChatGPT and Moku Cloud Compile.

We shared examples of how to generate VHDL using ChatGPT, implementing a signal limiter, implementing an event counter, and converting Python to VHDL: sqrt(x).

Each step is explained in the process of 'Prompt → Adjust → Copy → Build', and all you have to do is copy the code written by ChatGPT to Moku Cloud Compile. You can build your bitstream into Moku Cloud Compile, where you can edit the VHDL and improve your program.

Even if you're not a VHDL expert, you can freely utilize Moku's 13 software-defined instruments. This expands the instrumentation's capabilities, allowing you to expand test capabilities with FPGAs, high-precision embedded instruments, and portable hardware.

Liquid points out that these examples are just a few, and that there's plenty of room for creation, from simple, time-saving programs to complex prototypes and iterations on your own designs, all with different prompts and methodologies.

“I’m confident that future versions of ChatGPT will allow you to upload screenshots and even report where errors occurred,” said Ben Nijit, director of Moku Cloud Compile and ChatGPT. “This will make Moku Cloud Compile and ChatGPT a useful tool for everyday testing scenarios.”