📄 中文摘要
大型语言模型（LLMs）常常面临“幻觉”问题，即生成看似合理但实际上不正确或无意义的答案。这主要源于其概率性质，当需要精确的数据验证时可能导致猜测。提供的 ETL-D 端点 `/v1/enrich/legal` 是 LLM 在需要精确验证的领域（如法律或金融数据处理）中的重要工具。通过集成该端点，LLM 能够确定性地验证税务识别号和国际银行账号（IBAN），从而防止生成错误信息，并确保遵守金融法规。
为人工智能赋能：V1 法律增强 (ETL-D API)
出处: Dotando a IAs con: V1 Enrich Legal (ETL-D API)
发布: 2026年3月23日
📄 English Summary
Dotando a IAs con: V1 Enrich Legal (ETL-D API)
Large Language Models (LLMs) often encounter the 'hallucination' problem, where they generate plausible yet incorrect or nonsensical answers. This issue arises mainly due to their probabilistic nature, which can lead to guessing when precise data validation is required. The provided ETL-D endpoint `/v1/enrich/legal` serves as a vital tool for LLMs in fields that demand exact validation, such as legal or financial data processing. By integrating this endpoint, LLMs can deterministically validate Tax Identification Numbers and IBANs, preventing the generation of incorrect information and ensuring compliance with financial regulations.