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分类:AI大模型

301
FinRobot:金融AI代理平台,自动化股票分析与智能决策

FinRobot:金融AI代理平台,自动化股票分析与智能决策

FinRobot is an AI agent platform specifically designed for the financial sector, integrating multiple AI technologies to provide automated stock analysis, financial evaluation, and report generation. It features a four-layer architecture with perception, brain, and action modules for intelligent decision-making, and includes an intelligent scheduler for optimized task allocation. Developers can use FinRobot to build financial AI applications and learn practical applications of large models in finance, making it a practical tool combining fintech and AI. (FinRobot是一个专为金融领域设计的AI代理平台,整合多种AI技术,提供自动化股票分析、财务评估和报告生成功能。平台采用四层架构,通过感知、大脑和行动模块实现智能决策,配有智能调度器优化任务分配。开发者可利用FinRobot构建金融AI应用,学习大模型在金融领域的实际应用,是金融科技与AI结合的实用工具。)
AI大模型2026/2/4
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PageIndex:开源RAG框架革新,LLM树搜索实现98.7%金融文档精准检索

PageIndex:开源RAG框架革新,LLM树搜索实现98.7%金融文档精准检索

PageIndex is an open-source RAG framework that replaces traditional vector similarity matching with LLM-powered tree search, achieving 98.7% accuracy on financial benchmarks by mimicking human expert document navigation. (PageIndex是一个开源RAG框架,通过LLM驱动的树搜索替代传统向量相似性匹配,模拟人类专家文档导航方式,在金融基准测试中达到98.7%准确率。)
AI大模型2026/2/4
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《人工智能生成合成内容标识办法》解读:构建可信AI内容生态新规
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《人工智能生成合成内容标识办法》解读:构建可信AI内容生态新规

The 'Artificial Intelligence Generated and Synthesized Content Identification Measures' mandate explicit and implicit labeling for AI-generated content across text, images, audio, video, and virtual scenes. Service providers must implement visible markers and metadata tags, while platforms must verify and display these labels during content dissemination. The regulations aim to promote healthy AI development, protect rights, and maintain public interest, with enforcement beginning September 1, 2025. (《人工智能生成合成内容标识办法》要求对AI生成的文本、图片、音频、视频和虚拟场景内容进行显式和隐式标识。服务提供者需添加可见标识和元数据标签,传播平台需核验并展示标识。该办法旨在促进AI健康发展、保护权益、维护公共利益,自2025年9月1日起施行。)
AI大模型2026/2/1
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ChatGPT流量下滑背后:AI大模型竞争加剧与用户期望演变

ChatGPT流量下滑背后:AI大模型竞争加剧与用户期望演变

English Summary: This analysis examines the potential reasons behind ChatGPT's traffic decline, including market saturation, increased competition from alternatives like Claude and Gemini, technical limitations in reasoning and accuracy, evolving user expectations, and the impact of monetization strategies. It also considers OpenAI's ongoing innovations and the broader AI landscape shifts. (中文摘要翻译: 本文深入分析了ChatGPT流量下降的潜在原因,涵盖市场饱和、来自Claude和Gemini等替代品的竞争加剧、模型在推理和准确性方面的技术局限、用户期望的演变、以及商业化策略的影响。同时考虑了OpenAI的持续创新和更广泛的AI格局变化。)
AI大模型2026/1/30
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FinRobot:金融AI代理平台如何革新量化交易与投资研究

FinRobot:金融AI代理平台如何革新量化交易与投资研究

FinRobot is an open-source AI agent platform built on large language models (LLMs), specifically designed for financial data analysis, quantitative trading, and investment research. It features a four-layer architecture optimized for financial AI tasks, integrates Financial Chain-of-Thought (CoT) reasoning, and provides modular AI agents for market prediction, document analysis, and trading strategy optimization. (FinRobot 是一款基于大语言模型的开源AI代理平台,专注于金融数据分析、量化交易和投资研究。它采用四层架构优化金融AI任务,集成金融链式思维推理,并提供模块化的市场预测、文档分析和交易策略优化代理。)
AI大模型2026/1/30
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《动手学大模型》免费中文教程:从基础到华为昇腾国产化开发全流程

《动手学大模型》免费中文教程:从基础到华为昇腾国产化开发全流程

This is a comprehensive, free Chinese tutorial series on large AI models, covering practical programming from basics to advanced topics like fine-tuning, safety alignment, and multimodal applications, with a new domestic development workflow course supported by Huawei Ascend. (这是一个全面的免费中文大模型编程实践教程系列,涵盖从基础到高级主题的实践编程,如微调、安全对齐和多模态应用,并新增了华为昇腾支持的国产化开发全流程课程。)
AI大模型2026/1/29
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PageIndex革命:基于推理的RAG框架如何超越向量搜索,实现98.7%准确率

PageIndex革命:基于推理的RAG框架如何超越向量搜索,实现98.7%准确率

PageIndex introduces a revolutionary reasoning-based RAG framework that eliminates dependency on vector similarity search and document chunking. It organizes documents into hierarchical tree structures, enabling LLMs to navigate like human experts through multi-step reasoning, achieving 98.7% accuracy on FinanceBench. (PageIndex推出革命性的基于推理的RAG框架,彻底摆脱向量相似度搜索和文档分块的依赖。它将文档组织成层次化树状结构,使大语言模型能够像人类专家一样通过多步推理进行导航,在FinanceBench基准测试中达到98.7%的准确率。)
AI大模型2026/1/28
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Grok-4震撼发布:xAI第四代大语言模型的技术突破与安全挑战

Grok-4震撼发布:xAI第四代大语言模型的技术突破与安全挑战

Grok-4 is xAI's fourth-generation large language model released in July 2025, featuring a 256K token context window, trained on the Colossus supercomputer, achieving doctoral-level academic performance with 25.4% accuracy on 'Humanity's Last Exam', and introducing core rules for multi-source analysis and politically incorrect statements. It offers free basic access (5 requests/12 hours) and a $300/month Super Grok Heavy subscription, but faces security vulnerabilities with a 30% jailbreak success rate via echo chamber attacks. (Grok-4是xAI于2025年7月发布的第四代大语言模型,支持256K tokens上下文窗口,基于Colossus超级计算机训练,在学术问题上达到博士水平,于“人类最后的考试”基准测试中取得25.4%准确率。新增核心规则:涉及时事需分析多方信源,保留有依据的政治不正确表述。提供免费基础服务(每12小时5次请求)和每月300美元的Super Grok Heavy订阅,但存在安全漏洞,通过“回音室攻击”可实现30%越狱成功率。)
AI大模型2026/1/28
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