探索AI前沿,掌握行业发展趋势
每日精选AI热点,追踪最新行业动态
精准筛选产品,多维度产品调研
热门AI产品实力、热度、年/月/日排行
提交AI产品信息,助力产品推广和用户转化
一站式AI工具指南,快速找到你需要的工具
涵盖各类AI模型,满足你的开发与研究需求
热门AI大模型性能、热度、年/月/日排行
寻找优质模型提供商,获取可靠模型支持
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多模型实时评测,模型输出结果快速比对
聚集热门MCP服务,快速找到适合你的服务
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一站式GEO品牌洞察 提升AI搜索转化率
分析并追踪人工智能模型如何引用您的品牌
检测品牌在AI平台中的可见度
快速评估推广文章在AI 平台的引用情况
拥有属于自己的GEO系统,助您成为专业GEO优化服务商
通过AI搜索优化服务,让品牌在AI中实现霸屏
一键检测电脑配置,研判运行模型的兼容性
根据算力需求,推荐匹配的服务器配置
发现与 In Context Impersonation 相关的最受欢迎的开源项目和工具,了解最新的开发趋势和创新。
An AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before. Coze your way to AI Agent creation.
Make interlinked notes in private (E2E encrypted), share parts of it to global network of topics with deep AI integration
多模态大型语言模型的最新进展
如何构建真正够格交付给生产环境客户的,由大型语言模型(LLM)驱动的软件?我们需要遵循哪些原则?
Supercharge your workflow automation with this curated collection of n8n templates! Instantly connect your favorite apps-like Gmail, Telegram, Google Drive, Slack, and more-with ready-to-use, AI-powered automations. Save time, boost productivity, and unlock the true potential of n8n in just a few clicks.
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and support state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in performant way.
这篇调查论文“大型语言模型综述”的官方GitHub页面。
"RAG-Anything: All-in-One RAG System"
Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed.
Claude-Flow v2.0.0 Alpha represents a revolutionary leap in AI-powered development orchestration. Built from the ground up with enterprise-grade architecture, advanced swarm intelligence, and seamless Claude Code integration.
Type-safe search params state manager for React frameworks - Like useState, but stored in the URL query string.
LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.
支持MCP的最可靠的AI智能体框架
正式发布InternLM系列模型(InternLM、InternLM2、InternLM2.5、InternLM3)
Tracking the impact of COVID-19 in India
⚙️ All-in-One menu bar app, hide ?MacBook Pro's notch, dark mode, AirPods, Shortcuts
Next-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from development, debugging, and evaluation to monitoring.
5ire是一款跨平台的桌面AI助手,也是一个MCP客户端。它兼容主要的服務提供商,并支持通过模型上下文协议服务器访问本地知识库和工具。
在CIFAR-100数据集上测试了多种卷积神经网络模型的性能,包括ResNet、DenseNet、VGG、GoogleNet、InceptionV3、InceptionV4、Inception-ResNetv2、Xception、ResNet In ResNet、ResNeXt、ShuffleNet、ShuffleNetv2、MobileNet、MobileNetv2、SqueezeNet、NasNet、残差注意力网络、SENet和WideResNet。
MineContext is your proactive context-aware AI partner(Context-Engineering+ChatGPT Pulse)