The thing that I find most valuable is the ability to clean the data.
Darwin enhances efficiency by reducing model processing time and simplifies data usage post-training. It assesses dataset quality, automating model generation to save time. Despite lacking a direct API and a time-consuming analyze function, it streamlines tasks effectively. Preparing datasets poses challenges, and while it delivers initial results, further analysis is needed. Improvements are required in tutorials and sample datasets for better understanding.
