
MIT's GIFT Learns from CAD-Generating AI's Failures, Cutting Inference Candidates to a Fifth for Near-Equal Accuracy
MIT and others' GIFT feeds a CAD-generating AI's alternative solutions and failures back into training, improving average IoU by about 12%. While it reduces candidate generation at inference time, pre-computing roughly 1 million candidates and verifying manufacturability remain unresolved.







