groundingLMM

★ 969

vs

AgentStack

★ 44

groundingLMM vs AgentStack

groundingLMM: GLaMM (Grounding Large Multimodal Model) is an end-to-end trained LMM capable of generating natural language responses integrated with object segmentation masks, enabling visual grounding and versatile interaction with images at multiple granularity levels. It introduces the novel task of Grounded Conversation Generation (GCG), supports various downstream applications like referring expression segmentation and region-level captioning, and is underpinned by the large-scale GranD dataset.; AgentStack: AgentStack is a production-grade multi-agent framework built on Mastra, providing a rich ecosystem of agents, tools, workflows, and UI components. It focuses on enterprise-level applications with features like financial intelligence, advanced RAG, full observability, and secure governance for scalable AI systems.