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NYU Tandon School of Engineering
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LLMs can generate hardware designs that are functionally correct but often lag in timing performance, revealing a complex trade-off in financial FPGA design.
General-purpose LLMs can't hack it in quantum coding, but a RAG system armed with a code-aware embedding strategy can boost performance by 28% on real-world quantum programming challenges.
