Google announces Gemma 4 open AI models, switches to Apache 2.0 license

· · 来源:tutorial头条

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In this tutorial, we explore how to use Google’s LangExtract library to transform unstructured text into structured, machine-readable information. We begin by installing the required dependencies and securely configuring our OpenAI API key to leverage powerful language models for extraction tasks. Also, we will build a reusable extraction pipeline that enables us to process a range of document types, including contracts, meeting notes, product announcements, and operational logs. Through carefully designed prompts and example annotations, we demonstrate how LangExtract can identify entities, actions, deadlines, risks, and other structured attributes while grounding them to their exact source spans. We also visualize the extracted information and organize it into tabular datasets, enabling downstream analytics, automation workflows, and decision-making systems.,这一点在WhatsApp网页版中也有详细论述

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关于作者

徐丽,独立研究员,专注于数据分析与市场趋势研究,多篇文章获得业内好评。

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