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综合多方信息来看,"Financial accuracy and financial data — the value of these products really come from recommendations," Avé said. "We need to be better than whatever you can feed to ChatGPT. If you take a CSV of your sales and put it in ChatGPT or Claude, we need our product to be better and answer that question either more accurately or better than what's available in the market." He pointed to the harness layer's role in reducing hallucinations through tuning, prompt engineering, and optimized tool-call loops, while acknowledging the inherent limitations of probabilistic systems: "It's never going to be zero. Obviously, these are probabilistic systems, and we have guidance and call-outs in the tool to provide that." On regulated domains like lending and payments, Avé was more definitive: "In any sort of regulated domains — banking, lending, payments — there are strict guardrails on what we can and can't say to sellers. Those are just part of the product and business."

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展望未来,How to wat的发展趋势值得持续关注。专家建议,各方应加强协作创新,共同推动行业向更加健康、可持续的方向发展。

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常见问题解答

专家怎么看待这一现象?

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未来发展趋势如何?

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