Tag: multimodal AI

GLM-OCR ranks #1 on OmniDocBench V1.5 with 94.62 score. This 0.9B parameter open-source multimodal OCR model delivers state-of-the-art formula recognition, table extraction, and layout understanding via vLLM, SGLang, and cloud deployment.

Discover GLM-Skills from Zhipu AI: 20+ production-ready agent capabilities including vision, OCR, and document intelligence. Install in seconds via Clawhub, deploy across Claude Code, OpenCode, and AutoClaw frameworks. Stop building from scratch—start composing intelligent agents.

SteerViT enables natural language control of Vision Transformer representations through lightweight gated cross-attention. Learn installation, API usage, real code examples, and why it outperforms CLIP and DINOv2 for controllable visual AI.

Discover Parlor, the free on-device voice and vision AI powered by Gemma 4 E2B and Kokoro TTS. Run real-time multimodal conversations locally with zero API costs and complete privacy. Complete setup guide included.

SimpleMem achieves 43% F1 scores on LoCoMo with 30× fewer tokens than full-context methods. This open-source memory framework for LLM agents supports text, image, audio, and video with seamless MCP integration for Claude, Cursor, and more.

RAG-Anything is the all-in-one multimodal RAG framework with VLM integration that processes text, images, tables, and equations in a single pipeline. Built on LightRAG by HKUDS, it eliminates fragile tool chains with native cross-modal knowledge graphs and automatic visual reasoning.