业内人士普遍认为，Former Tes正处于关键转型期。从近期的多项研究和市场数据来看，行业格局正在发生深刻变化。
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值得注意的是，At the heart of this scaffolding is a carefully orchestrated version of technique called Retrieval Augmented Generation, or RAG. Commercial LLMs use a version of RAG whenever they look at documents you upload into the chat window. A model like Claude retrieves information from that document and then augments its responses based on its findings before generating an answer to your questions. Still, there’s often a limit to how much data you can upload. And giving a commercial LLM sensitive documents remains risky because the contents could end up being used for future training, or end up in a temporary cache that isn’t necessarily siloed from the provider’s view.
值得注意的是，Quentin Fottrell is MarketWatch's Managing Editor-Advice Columns and The Moneyist columnist. You can follow him on Twitter @quantanamo.
与此同时，This report first appeared on Fortune.com
展望未来，Former Tes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。