Add and remove products or activities in the sidebar to compare them on the chart. Most have the option of adjusting the number of hours used, miles driven, or other units of usage.
Once all data was ready, I tried training an 8-class model (human + 7 AI models), but since these LLMs are all distilled from similar data, their outputs were too similar. Classification accuracy was only ~50%.
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The bottom drop shadow is ad-hoc enough that we’ll just be assigning immediate values to sprite registers for those. Changing the sprites back will be managed via the shadow_loc and shadow_pat reads at the end of the frame.
Working with ghost writers, building copy libraries, and the copy compound loop.