《三角洲行动》账号中价值“一个亿”的游戏资产

赢得了一致好评。在评论区，不少网友留言称赞：“还算你反应快”、“和玩家站在一起，好官方”、“笑死我了还是你干得好”

《永劫无间》官方账号于今日果断回应，在公开渠道直接喊话该主播：“我方已发起下图两份稿件解除共创申请，烦请通过。”

Large language models (LLMs) base their predictions on training data and cannot respond effectively to queries about other data. The AI industry has dealt with that limitation through a process called retrieval-augmented generation (RAG), which gives LLMs access to external datasets. Google's AI Overviews in Search, for example, use RAG to provide the underlying Gemini model with current, though not necessarily accurate, web data. GraphRAG represents Microsoft's effort to make RAG more effective. By creating semantically related data clusters called knowledge graphs (KGs), GraphRAG outperforms basic RAG when linked to an LLM-based system. The structuring of the data makes it easier for the LLM to make accurate predictions when prompted. <a href="https://pubads.g.doubleclick.net/gampad/jump?co=1&amp;iu=/6978/reg_software/aiml&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=2&amp;c=2abK5atIoJ9H26y3buUV06QAAAIY&amp;t=ct%3Dns%26unitnum%3D2%26raptor%3Dcondor%26pos%3Dtop%26test%3D0" target="_blank"> <img src="https://pubads.g.doubleclick.net/gampad/ad?co=1&amp;iu=/6978/reg_software/aiml&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=2&amp;c=2abK5atIoJ9H26y3buUV06QAAAIY&amp;t=ct%3Dns%26unitnum%3D2%26raptor%3Dcondor%26pos%3Dtop%26test%3D0" alt=""> </a>

Academics Wang, Lv, and their co-authors propose a KG defense called AURA, which stands for "Active Utility Reduction via Adulteration." The ten authors are affiliated with the Chinese Academy of Sciences, National University of Singapore, Nanyang Technological University, and Beijing University of Technology.

Researchers affiliated with universities in China and Singapore have devised a technique to make stolen knowledge graph data useless if incorporated into a GraphRAG AI system without consent.

构建知识库第一步：构建基于图检索增强的知识库。在新建知识库时开启知识图谱选项，选择实体关系抽取模型，下载、设置和导入图谱schema模板。

亲测有效！元景万悟开源UniAI-GraphRAG，教你搭建专业问答智能体

UniAI-GraphRAG 在元景万悟智能体开发平台开源发布，标志着万悟智能体平台在知识可信、可解释、可追溯的企业级智能知识引擎建设上迈出关键一步。联通数智诚邀开发者、行业专家与合作伙伴共同参与共建，推动GraphRAG 技术在工业、政务、经济、医疗、金融、文旅等领域的深度应用。

UniAI-GraphRAG是一款全新的图检索增强生成框架，突破了传统检索增强生成框架（RAG）的局限，能更精准地理解知识点间的内在关联，可显著提升复杂场景问答的准确性、完整性与可解释性，尤其适合严肃场景问答智能体的搭建。

2025年GraphRAG 技术迎来开源热潮，业内头部企业纷纷披露自研方案，为行业发展注入强劲动力。为紧跟前沿技术趋势、赋能更多企业智能化升级，元景万悟智能体开发平台正式开源发布全新GraphRAG方案——UniAI-GraphRAG，助力企业打造智能知识新引擎

(This article is a rewritten and translated version of a research report by the FrOG team, funded by Wikimedia Indonesia‘s Wikidata Research Fund 2024. The report was presented on behalf of the team by Fariz Darari (University of Indonesia) and Fajar J. Ekaputra (WU Vienna). It has been rewritten by Hisyam on behalf of Wikimedia Indonesia to make the content accessible to a general audience.)

蚂蚁集团与浙江大学联合提出的 Deep GraphRAG 框架，针对知识图谱增强检索（GraphRAG）中"全局搜索"与"局部搜索"的权衡难题，提出了一种层次化全局到局部的检索策略。该框架通过三阶段检索流程和创新的强化学习方法 DW-GRPO，在 Natural Questions 和 HotpotQA 数据集上取得了显著的性能提升

他们研发出一种名为 KGR³ 的 KGC 框架，具体包括如下三个模块。检索模块：负责收集与待补全三元组相关的语义和结构化知识。这包括：1）三元组检索：从知识图谱中获取与查询三元组具有相同关系和相似实体的一些三元组）；2）文本上下文检索，从知识库中提取查询三元组及支持三元组中实体的相关上下文，如标签、描述、别名等）；3）候选答案检索（利用先前的 KGC 模型对知识图谱中的实体进行初步评分和排名，选取排名靠前的实体作为候选答案）。推理模块：利用大语言模型的上下文感知推理能力，为具体的不完整三元组生成一些可能的答案。为了引导大语言模型更好地完成任务，他们利用演示提取出的相似三元组帮助大语言模型理解任务，并提供了实体的描述来防止幻觉现象的产生。考虑到大语言模型输出的噪声问题，他们会对生成的答案做对齐，确保输出的实体在知识图谱中真实存在。重排序模块：整合并重排上述两个模块的候选答案，使满足不完整三元组的最佳实体排在较前位置。在这个模块中，他们通过对训练集中的三元组头尾实体进行负采样来候选答案集，并引入监督微调机制，使大语言模型拥有能够根据实体描述和已知实体的邻接三元组从答案集中选择最佳实体的能力。实验结果表明，在文本语义信息、图谱结构化知识、以及监督微调的多重指导下，即使是参数量较小（1.5B 和 7B）的开源大模型，都有能力很好地解决知识图谱的补全问题。

近年来基于文本的方法，利用预训练语言模型将实体和关系与其标签和描述进行编码。由于结构化的三元组与自然语言句子之间存在较大语义差距，其性能仍无法超越最新的基于嵌入的方法。

香港中文大学博士生李木之和香港科技大学（广州）博士生杨策皓认为，通过提供相关的知识和恰当监督，可以激发大语言模型的推理能力，更好地解决知识图谱补全问题。

例如，在描述人物关系时，可能存在某些人物之间的关联关系未被记录；在描述事件时，可能缺少关键的参与实体或事件发生的背景信息等。这种不完整性严重限制了知识图谱在上述下游应用中的性能和效果，凸显了知识图谱补全（KGC，Knowledge Graph Completion）任务的重要性。

知识图谱（KG，Knowledge Graph）是一种关键的知识组织形式，其以图结构将事实知识呈现为（头实体、关系、尾实体）的三元组（triple）形式。

GraphRAG（Graph-based Retrieval-Augmented Generation）由微软研究院于2024年提出，是传统检索增强生成（RAG）技术的革新范式。其核心创新在于将知识图谱（Knowledge Graph）的结构化表示能力与LLM的生成能力结合，解决了传统RAG在处理全局性查询（如“数据集的主要主题是什么？”）和多跳推理（如“A事件如何间接导致C结果？”）时的固有缺陷。

Edge, D., Trinh, H., Cheng, N., et al. (2024). From Local to Global: A Graph RAG Approach to Query-Focused Summarization. arXiv preprint arXiv:2404.16130. 论文地址：https://arxiv.org/pdf/2404.16130 代码开源：https://github.com/microsoft/graphrag 该论文首次提出两阶段索引架构： 图构建阶段： 将文档分割为文本块（Text Chunks），通过LLM提取实体、关系及声明（claims）构建同质无向加权图（节点=实体，边=关系，权重=关系实例的标准化计数） 社区摘要阶段： 采用Leiden算法（Traag et al., 2019）检测图社区（基于模块度优化）生成层次化社区摘要（叶级社区→高层社区）

GraphRAG 是 RAG 的一种新范式，它通过三项关键创新解决传统 RAG 的局限性，彻底改变了特定领域的 LLM 应用： （i）明确捕获实体关系和域层次结构的图结构知识表示， （ii）支持多跳推理和上下文保留知识获取的图感知检索机制， 以及（iii）确保跨大规模语料库进行有效检索的结构引导知识搜索算法

相关工作：该问题的研究相关工作有：RAG 技术在各种领域的广泛应用，如医疗保健、金融和教育；已有的基于图的 RAG 方法，如 RAPTOR、KGP、HippoRAG 等，但这些方法缺乏系统的比较和分析。

研究问题：这篇文章要解决的问题是如何通过结合知识图谱和大语言模型（LLM）来提高检索增强生成（RAG）系统的准确性、可解释性和上下文感知性。

Particularly noteworthy were the advanced achievements where AI was not just a tool for simple data analysis but was used to design the very structure of the research problem-solving process.

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The AI Education Completion Certification Program is a system that verifies and certifies the AI-driven research achievements and capabilities of non-AI major students who have completed AI-related courses.

The students with 'Excellence' certifications strategically integrated cutting-edge AI technologies into their respective fields of study. These technologies include large language models (LLMs) like Gemini and ChatGPT, Vision Foundation Models (VFMs) based on image and video data learning, and Knowledge Graph-based Retrieval-Augmented Generation (GraphRAG), which connects complex relationships between information to understand the overall context.

Popular Articles1South Korea's ICT Ministry Appoints New Director for Technology Policy Division

University's AI training for scientists sparks surge in research publications

Seo Hyun-woo, a master's student in Aerospace Systems Engineering at the Korea Aerospace Research Institute (KARI) School, utilized VFMs to significantly improve the performance of accurately detecting ships in satellite images with contextual information and precisely describing the related situations in text. This research was presented at 'IEEE IGARSS 2025,' the world's most prestigious conference in the field of remote sensing and satellite imagery, and was highly praised as a successful case of applying AI to next-generation satellite image analysis.

Nine students from the University of Science and Technology (UST) have published a series of findings in international academic conferences and renowned journals by using artificial intelligence (AI) as a core part of their research design. They are all holders of an 'Excellence' certification from the university's 'AI Education Completion Certification Program'.

you

An update to GraphRAG improves AI search results with specific and comprehensive answers and more references to source materials

GraphRAG 2.0 Improves AI Search Results

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The GraphRAG library is available on GitHub. The GraphRAG solution accelerator repository, an API experience hosted on Azure, has been archived but can still be referenced below. BenchmarkQED, a set of tools for evaluating RAG based systems, is also available on GitHub (opens in new tab).

GraphRAG (Graphs + Retrieval Augmented Generation) is a technique for richly understanding text datasets by combining text extraction, network analysis, and LLM prompting and summarization into a single end-to-end system.

Supervised Machine Learning: Regression and Classification

de if this

What Is Machine Learning? Machine learning refers to the process by which computers are able to recognize patterns and improve their performance over time without needing to be programmed for every possible scenario. Instead of following a rigid set of rules, these systems analyze data, make predictions, and adjust their approach based on their learning.

Football is played on a field that’s 360 feet long by 160 feet wide. The main portion of the field is 100 yards long and marked in increments of 10 yards. At each end of the field is the end zone, or scoring area. Each end zone contains the uprights, the target for kickers when trying to score a field goal. There’s also additional space out of bounds on the sidelines for each team’s bench of players.

Football is an explosive game which is great to both play and watch. Even if you are a newcomer to the sport of American football, by following these five simple golden rules you can understand the basics of this great game.

Gameplay in American football consists of a series of downs,

Home Welcome Welcome Table of contents Get Started with GraphRAG 🚀 GraphRAG vs Baseline RAG 🔍 The GraphRAG Process 🤖 Index Query Prompt Tuning Versioning Getting Started Development Guide Indexing Indexing Overview Architecture Dataflow Methods Inputs Outputs Custom Graphs Prompt Tuning Prompt Tuning Overview Auto Tuning Manual Tuning Query Query Overview Global Search Local Search DRIFT Search Question Generation Notebooks Notebooks Overview Global Search Local Search DRIFT Search Configuration Configuration Overview Init Command Detailed Configuration Language Model Selection CLI Extras Extras Microsoft Research Blog Visualization Guide Operation Dulce Operation Dulce About Document Table of contents Get Started with GraphRAG 🚀 GraphRAG vs Baseline RAG 🔍 The GraphRAG Process 🤖 Index Query Prompt Tuning Versioning Welcome to GraphRAG

The GraphRAG project is a data pipeline and transformation suite that is designed to extract meaningful, structured data from unstructured text using the power of LLMs.

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Check out the basketball rules that originally were published on Jan. 15, 1892, in the Springfield College school newspaper, The Triangle.

FOULS: Team foul totals and individual foul totals will be recorded. An individual will be disqualified after commiting their fifth foul and will be ejected after committing two technical fouls, one flagrant foul, or one flagrant technical foul. Free throws will be awarded for all fouls committed on a player in the act of shooting and for all fouls committed after the 4th team foul. The 5th team foul and all additional fouls will result in two bonus free throws. Foul totals will be reset to zero after each quarter except the fourth quarter when the game goes into overtime. An automatic two points (no FTs) will be awarded to the offended team for Technical, Intentional, and Flagrant fouls.OVERTIME:  When the score is tied at the end of regulation, the game shall continue without a change of baskets for an overtime period of three minutes (two minutes running time, one minute of stop time) with an intermission of 1 minute before the extra period.  A jump ball at center court will start the extra period. All foul totals carry over into overtime and are administered the same as during a regular period. Each team is allowed one time-out in the overtime period, timeouts do not carry over from regulation in to overtime. If the score is still tied after an overtime period during regular season play, the game ends in a tie. Playoff games will continue to play extra periods until a winner is determined.

st 4 players present, ready to pla

PLAYING PERIOD: A game will consist of four quarters of nine minutes each (running time) with one minute between quarters and three minutes between halves.  The clock will not stop for a foul, a held ball, or a violation until there is less than two minutes remaining in the second half or less than 1 minute remaining in an overtime period.  The clock will stop for injuries and for an officials time out at any point in the game.TIME OUTS: Each team is allowed one thirty second time out per half.  Time outs do not carry over from one period to the next.

The rules of basketball are the rules and regulations that govern the play, officiating, equipment and procedures of basketball. While many of the basic rules are uniform throughout the world, variations do exist. Most leagues or governing bodies in North America, the most important of which are the National Basketball Association and NCAA, formulate their own rules. In addition, the Technical Commission of the International Basketball Federation (FIBA) determines rules for international play; most leagues outside North America use the complete FIBA ruleset.

Two teams of five players each try to score by shooting a ball through a hoop elevated 10 feet above the ground. The game is played on a rectangular floor called the court, and there is a hoop at each end. The court is divided into two main sections by the mid-court line. If the offensive team puts the ball into play behind the mid-court line, it has ten seconds to get the ball over the mid-court line.

Basketball is a team sport.

4. Any accidental hindrance is considered a “let” and there will be a re-serve. For example, aplayer or shuttle from another game entering the court.

1. Any at least part-time student is eligible to participate2. AU faculty, staff and their spouses/children are eligible to play3. Players may be added to rosters during the first week of the season, but not after that.4. All players must be recorded on the game sheet before they are allowed to participate.1. Teams:a. Teams consist of 2 players on the court at one time.START OF PLAY1. Before starting the game, the opponents toss a coin with the winner choosing:(a) to serve first/to receive first, or(b) the side2. In subsequent games, the winning side serves first.SCORING SYSTEM1. A match consists of the best of 3 games of 21 points (games cap at 30 points). Each gamestarts at 0-0. If the match goes to the third game that third game will be played to 15.2. Every time there is a serve – there is a point scored.a. A rally is won when a shuttle is hit over the net and onto the floor of the opponent'scourt.b. A rally is lost if the shuttle is hit into the net, or over the net but outside of theopponent's court. A rally is also lost if the shuttle touches the player's clothing orbody, or if it is hit before it crosses over the net.3. The side winning a rally adds a point to its score.4. At 20 all, the side which gains a 2 point lead first, wins that game.5. At 29 all, the side scoring the 30th point, wins that game.6. The side winning a game serves first in the next game.INTERVAL AND CHANGE OF ENDS1. A 2 minute interval between each game is allowed.2. Teams switch sides at the end of each game.3. In the third game, teams switch sides when the leading score reaches 8 points.SERVING1. The first serve of the game is always made from the right side of the court to the oppositediagonal side. Only the player standing in the proper service court may return the serve.2. The server must obey laws designed to force underhand delivery of the serve, and the receivermust stand still until the service is struck.3. Following the serve, players may move anywhere on their side of the net.4. A player continues to serve (alternating service courts) as long as a player scores points.5. The service passes consecutively to the players as shown in the diagram (see below).

Badminton is a racquet sport played using racquets to hit a shuttlecock across a net. Although it may be played with larger teams, the most common forms of the game are "singles" (with one player per side) and "doubles" (with two players per side). Badminton is often played as a casual outdoor activity in a yard or on a beach; professional games are played on a rectangular indoor court. Points are scored by striking the shuttlecock with the racquet and landing it within the other team's half of the court, within the set boundaries.

A regular fixture since the Barcelona 1992 Olympics, badminton now has five disciplines at the Games after mixed doubles was introduced at Atlanta 1996.

It is also one of the biggest draws at multi-sport spectacles like the Olympics.

Apple Inc. is an American multinational technology company headquartered in Cupertino, California, in Silicon Valley,

Apple Computer, Inc. was founded on April 1, 1976, by college dropouts Steve Jobs and Steve Wozniak, who brought to the new company a vision of changing the way people viewed computers. Jobs and Wozniak wanted to make computers small enough for people to have them in their homes or offices. Simply put, they wanted a computer that was user-friendly

The Founding of Apple Computer, Inc.

Enterprise GenAI systems face a critical challenge: the need for trustworthy and reliable results. Pure large language model (LLM)-based solutions often fall short in this regard. These models are trained to prioritize helpfulness over factuality, and their pre-training data usually lacks crucial recent and relevant information. Consequently, they are prone to generating hallucinations of facts and explanations, which is particularly damaging in high-value business domains and use cases.

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