How long can a large model understand a video? Smart Spectrum GLM-4V-Plus: 2 hours
Based on the first two generations of video models (CogVLM2-Video and GLM-4V-PLUS), we have further optimized our video understanding techniques with the release of the GLM-4V-Plus-0111 beta version. This version introduces techniques such as native variable resolution to improve ...
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...
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...
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...
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...
Fast GraphRAG: A Highly Accurate and Low-Cost Graphical Search Enhancement Generation Tool
Comprehensive Introduction Fast GraphRAG is an open source tool developed by Circlemind AI to enable efficient and accurate retrieval augmentation generation (RAG) through knowledge graph and PageRank algorithms. The tool intelligently adapts to the user's use...
MCP and Python MCP Server Development Explained
A First Look at MCP MCP (Model Context Protocol), is a protocol developed to standardize how applications provide context for large models.MCP provides a standard way of providing data, tools for LLMs.Using MCP will make it easier to con...
Qwen2.5-1M: An Open Source Qwen Model with Support for 1 Million Tokens Contexts
1. Introduction Two months ago, the Qwen team upgraded Qwen2.5-Turbo to support context lengths of up to one million Tokens. Today, Qwen officially launched the open source Qwen2.5-1M model and its corresponding inference framework support. The following...
Arigatou Ziyou-o1 inference model released! First output step-by-step explanation that can be deployed on consumer-grade graphics cards
2025 the beginning of the year, the AI industry set off a large model "reasoning tide", since OpenAI released o1, various reasoning models continue to emerge, the model's higher-order reasoning ability ushered in the outbreak of enhancement of the value of its application is also more and more to obtain the industry's widespread attention. Recently, NetEase has officially launched the first domestic output step-by-step...
TinyZero: A Low-Cost Replication of DeepSeeK-R1 Zero's Epiphany Effect
General Introduction TinyZero is a veRL-based reinforcement learning model designed to replicate the performance of DeepSeeK-R1 Zero in countdown and multiplication tasks. Surprisingly, the project costs only $30 to run (using 2xH2...