RTL

TL;DR for operators If verified circuit-training data are scarce, exhaustive validation of every generated design may not be the best use of the next unit of data-engineering budget. In one experiment, a curated 22-circuit synthetic corpus reached 48.49% F1-Micro and 42.82% F1-Macro with a frozen circuit encoder, outperforming the original 22 verified circuits on both metrics and a 110-circuit raw generated corpus on F1-Micro. ...

Hardware design has a rather unforgiving relationship with “almost right”. A chatbot can produce a slightly clumsy paragraph and survive the incident. A Verilog module that mishandles reset logic, races a signal, or politely misunderstands concurrency does not get partial credit from physics. It fails simulation, or worse, passes the wrong simulation and then becomes a very expensive archaeology project later in the design flow. ...