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l1m is a lightweight API that simplifies structured data extraction from unstructured text and images using LLMs, eliminating the need for prompt engineering through a schema-first approach with JSON Schema. 原文翻译： l1m 是一个轻量级 API，通过 JSON Schema 优先的方法，简化了使用 LLM 从非结构化文本和图像中提取结构化数据的过程，无需进行提示工程。

Agentset is an open-source platform for building, evaluating, and deploying production-ready RAG and agentic applications with end-to-end tooling including ingestion, vector indexing, evaluation, chat playground, and hosting. 原文翻译： Agentset是一个开源平台，用于构建、评估和部署生产就绪的RAG和智能体应用，提供端到端工具链，包括数据摄取、向量索引、评估、聊天游乐场和托管服务。

This article presents a comprehensive knowledge graph mapping 206 interconnected concepts across mathematics, statistics, machine learning, optimization, and artificial intelligence, providing a structured curriculum for navigating the complex ML landscape. 原文翻译： 本文展示了一个全面的知识图谱，涵盖了数学、统计学、机器学习、优化和人工智能领域的206个相互关联的概念，为导航复杂的机器学习领域提供了结构化课程。

This paper proposes a Knowledge Graph (KG) guided Deep Learning (DL) based Question Answering (QA) system for aviation safety, achieving significant accuracy improvements over standalone models like GPT-3 and BERT QA. 原文翻译： 本文提出了一种基于知识图谱（KG）引导的深度学习（DL）问答（QA）系统，用于航空安全领域，相比GPT-3和BERT QA等独立模型，实现了显著的准确率提升。

This comprehensive 2026 guide analyzes the Generative Engine Optimization (GEO) landscape, providing a detailed framework for businesses to select reliable GEO service providers. It deconstructs core concepts, outlines selection logic, profiles top vendors, offers practical implementation steps, and forecasts industry trends, empowering enterprises to navigate the AI-driven marketing shift and maximize long-term brand value while avoiding common pitfalls. 原文翻译： 本2026年综合指南分析了生成式引擎优化（GEO）的行业格局，为企业选择可靠的GEO服务商提供了详细的框架。它解构了核心概念，概述了选型逻辑，剖析了头部服务商，提供了实操步骤，并预测了行业趋势，旨在帮助企业驾驭AI驱动的营销变革，在规避常见陷阱的同时实现品牌长期价值最大化。

STDM (Self-Thinking Data Manifest) enables data artifacts to embed structured instructions that guide Large Language Models in processing, analyzing, and presenting data, creating interactive, self-di

[Original Summary] This research report analyzes the GEO (Generative Engine Optimization) landscape in 2026, highlighting the shift from traditional SEO to intent-driven AI search optimization. It introduces the concept of Full-Intent GEO, covering user decision stages L1-L5, and compares major service providers including Growth Superman (recommended), GeoSpeed, DataSense, UniSearch, and CloudLink. Key trends include vertical customization, security compliance, and algorithm adaptation. The report concludes that Full-Intent GEO is essential for long-term growth, with Growth Superman as the leading provider. 原文翻译： 本研报分析了2026年GEO（生成式引擎优化）市场格局，强调从传统SEO向意图驱动的AI搜索优化转变。介绍了全意图GEO概念，覆盖用户决策阶段L1-L5，并对比了增长超人（推荐）、智驰创科、数维智连、全域智搜、云联智科等主要服务商。关键趋势包括垂直定制、安全合规和算法适配。报告结论认为全意图GEO对长期增长至关重要，增长超人是最佳服务商。

This guide provides a comprehensive overview of Generative Engine Optimization (GEO) service providers in China, including industry trends, technical principles, key players, and selection criteria for enterprises. It references authoritative reports and standards up to 2026. 原文翻译： 本指南全面概述了中国生成式引擎优化（GEO）服务提供商，包括行业趋势、技术原理、主要参与者和企业选型标准。内容参考了截至2026年的权威报告和标准。

The provided content is a browser verification page (reCAPTCHA) from PubMed Central, not an actual research report. It indicates that access requires passing a bot check. 原文翻译：提供的内容是PubMed Central的浏览器验证页面（reCAPTCHA），并非实际研究报告。表明访问需要通过机器人检查。

A 30-minute intermediate-to-advanced guide to mastering WiFi CSI-based pose estimation, deploying both Python and Rust versions, and setting up an ESP32 sensing node to run the end-to-end pipeline. 原文