Sharenet.ai

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大模型能理解多长的视频?智谱 GLM-4V-Plus:2小时

How long can a large model understand a video? Smart Spectrum GLM-4V-Plus: 2 hours

在前两代视频模型(CogVLM2-Video和GLM-4V-PLUS)的基础上,我们进一步优化了视频理解技术,推出了GLM-4V-Plus-0111 beta版本。该版本引入了原生可变分辨率等技术,提...
6mos ago
0915
HyperUGC:用AI虚拟形象生成真实的UGC视频

HyperUGC: Generating Real UGC Videos with AI Avatars

General Introduction HyperUGC is an innovative platform that utilizes artificial intelligence technology to generate high-quality user-generated content (UGC) videos. The platform is designed to replace expensive content creators by generating authentic and engaging video content in minutes through AI avatars.Hype...
6mos ago
0972
KlipML:使用AI智能代理创建和编辑病毒营销短视频

KlipML: Creating and Editing Short Viral Marketing Videos Using AI Intelligent Agents

General Introduction KlipML is an advanced AI video creation platform designed to help users quickly generate professional videos. Whether it's marketing content, educational videos or social media clips, KlipML simplifies the video production process with its powerful AI capabilities. The platform offers AI agent...
6mos ago
0960
Wepost:简化社交媒体内容创作和管理的AI平台

Wepost: an AI platform that simplifies social media content creation and management

General Description Wepost is a content marketing platform designed for busy marketers that utilizes artificial intelligence technology to help users create high-quality branded content. The platform integrates content planning, creation, publishing and analytics features designed to streamline workflows and increase the efficiency of content marketing. Users...
6mos ago
0911
Llasa 1~8B:高品质语音生成和克隆的开源文本转语音模型

Llasa 1~8B: an open source text-to-speech model for high quality speech generation and cloning

General Introduction Llasa-3B is an open source text-to-speech (TTS) model developed by the Audio Lab of the Hong Kong University of Science and Technology (HKUST Audio). The model is based on the Llama 3.2B architecture, which has been carefully tuned to provide high-quality speech generation that not only supports multiple...
5mos ago
01.3K
Fast GraphRAG:高准确率且低成本的图形化检索增强生成工具

Fast GraphRAG: A Highly Accurate and Low-Cost Graphical Search Enhancement Generation Tool

综合介绍 Fast GraphRAG 是由 Circlemind AI 开发的一款开源工具,旨在通过知识图谱和 PageRank 算法实现高效、精确的检索增强生成(RAG)。该工具能够智能适应用户的使...
6mos ago
01.1K
MCP 和 Python MCP Server 开发详解

MCP and Python MCP Server Development Explained

初识MCP MCP(Model Context Protocol),是一个开发的协议,标准化了应用程序如何为大模型提供上下文。MCP提供了一个标准的为LLM提供数据、工具的方式,使用MCP会更容易的构...
6mos ago
01.5K
Qwen2.5-1M: 支持100万Tokens上下文的开源Qwen模型

Qwen2.5-1M: An Open Source Qwen Model with Support for 1 Million Tokens Contexts

1.引言 两个月前,Qwen团队升级了 Qwen2.5-Turbo,使其支持最多一百万个Tokens的上下文长度。今天,Qwen正式推出开源的 Qwen2.5-1M 模型及其对应的推理框架支持。以下是...
6mos ago
01.1K
有道 子曰-o1推理模型发布!首个输出分步式讲解,消费级显卡即可部署

Arigatou Ziyou-o1 inference model released! First output step-by-step explanation that can be deployed on consumer-grade graphics cards

2025开年,AI行业掀起大模型“推理潮”,自OpenAI发布o1后,各式推理模型不断涌现,模型的高阶推理能力迎来爆发增强,其应用价值也愈发获得业界的广泛关注。 近日,网易有道正式推出国内首个输出分步...
6mos ago
0813
TinyZero:低成本复现 DeepSeeK-R1 Zero 的顿悟效果

TinyZero: A Low-Cost Replication of DeepSeeK-R1 Zero's Epiphany Effect

综合介绍 TinyZero 是一个基于 veRL 的强化学习模型,旨在复现 DeepSeeK-R1 Zero 在倒计时和乘法任务中的表现。令人惊讶的是,该项目仅需 30 美元的运行成本(使用 2xH2...
6mos ago
02.3K