技术研发与AI产品数据集

[ { "doc_id": "RND-PAPER-2024-AI-05231", "doc_type": "PAPER", "domain": "AI", "subdomain": "NLP", "title": "Large Language Models Are Zero-Shot Reasoners", "abstract": "We demonstrate that LLMs are decent zero-shot reasoners by simply adding 'Let''s think step by step' before each answer...", "language": "EN", "publish_year": 2024, "keywords": ["大اللغةنماذج", "零Sample推理", "思维链", "提示工程"], "tech_methods": ["Chain-of-Thought", "Zero-shot Prompting", "LLM"], "benchmark_datasets": ["GSM8K", "SVAMP", "AQuA", "StrategyQA"], "citation_count": 1250, "patent_status": null, "innovation_level": "BREAKTHROUGH", "trl_level": null }, { "doc_id": "RND-PATENT-2023-CLOUD-01892", "doc_type": "PATENT", "domain": "CLOUD", "subdomain": "边缘计算", "title": "一种基于边缘计算的工业物联网بياناتالوقت الحقيقيمعالجة方القانون", "abstract": "本发明公开了一种基于边缘计算的工业物联网بياناتالوقت الحقيقيمعالجة方القانون，通过在边缘节点部署轻量化AI推理نماذج实现毫秒级异常检测...", "language": "ZH", "publish_year": 2023, "keywords": ["边缘计算", "工业物联网", "异常检测", "الوقت الحقيقيمعالجة"], "tech_methods": ["轻量化神经网络", "时序异常检测", "نماذج蒸馏"], "benchmark_datasets": [], "citation_count": null, "patent_status": "GRANTED", "innovation_level": "INCREMENTAL", "trl_level": 7 }, { "doc_id": "RND-SOLUTION-2025-IOT-00765", "doc_type": "TECH_SOLUTION", "domain": "IOT", "subdomain": "智能家居", "title": "[某مؤسسة]全屋智能الحلول技术架构", "abstract": "基于Matter协议的统一智能家居المنصة架构方案，实现跨品牌设备互联互通与AIالسيناريوهات联动...", "language": "ZH", "publish_year": 2025, "keywords": ["智能家居", "Matter协议", "AIالسيناريوهات", "互联互通"], "tech_methods": ["Matter", "边缘AI", "السيناريوهات引擎"], "benchmark_datasets": [], "citation_count": null, "patent_status": null, "innovation_level": "INCREMENTAL", "trl_level": 8 }, { "doc_id": "RND-PAPER-2024-QUANTUM-00342", "doc_type": "PAPER", "domain": "QUANTUM", "subdomain": "量子机器学习", "title": "Quantum Neural Networks for Financial Time Series Prediction", "abstract": "We propose a hybrid quantum-classical neural network architecture that leverages quantum feature maps for financial time series forecasting...", "language": "EN", "publish_year": 2024, "keywords": ["量子计算", "神经网络", "时间序列预测", "金融"], "tech_methods": ["Quantum Neural Network", "Variational Quantum Circuit", "Hybrid Classical-Quantum"], "benchmark_datasets": ["S&P500", "NASDAQ"], "citation_count": 85, "patent_status": null, "innovation_level": "BREAKTHROUGH", "trl_level": 4 }, { "doc_id": "RND-PRODUCT-2025-AI-00987", "doc_type": "PRODUCT_DOC", "domain": "AI", "subdomain": "الوحدات المتعددةAI", "title": "Gemini 2.0 Multimodalنماذج كبيرة技术白皮书", "abstract": "介绍Gemini 2.0的الوحدات المتعددة架构设计，包括原生الوحدات المتعددة编码器、跨模态注意力机制和长上下文معالجة能力...", "language": "ZH", "publish_year": 2025, "keywords": ["الوحدات المتعددة", "大اللغةنماذج", "Gemini", "Transformer"], "tech_methods": ["MoE", "Multi-modal Encoder", "Cross-attention", "Long Context"], "benchmark_datasets": ["MMLU", "MMBench", "Video-MME"], "citation_count": null, "patent_status": null, "innovation_level": "DISRUPTIVE", "trl_level": 9 } ]