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阿里妹导读本文详细阐述了大语言模型(LLM)生成结构化输出的技术演进、核心方法与未来趋势。传统上,大语言模型(LLMs)被设计用于生成自由格式的文本。这种输出虽然连贯且富有信息,但缺乏严格的结构,导致其难以被机器直接解析和利用。然而,随着LLMs应用 ...
ZDNET's key takeaways Even the best AI models are challenged to carry out tasks via MCP.New benchmarks show models struggle ...
Andrew Norrie makes the case for open data standards, and argues Industry Foundation Classes has a vital role to play in data ...
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Boomi, the leader in AI-driven automation, today announced the general availability of native Change Data Capture (CDC) ...
Shopify Plus development requires balancing rapid iteration with maintainable, scalable code. Whether building on theme ...
Kick-starting with the basics of digital twin—what it is, how it works, and a case study that shows it in practice.
反思策略本质上就是让LLM对自己的行为进行自我批评。有时反思器还会调用外部工具或检索系统来提升批评的准确性。这样一来系统输出的就不再是一次性的回答,而是经过多轮生成-审阅循环优化后的结果。
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