Agentic AI
Welcome back to our LangGraph series In our nbsp previous post we explored the fundamental concepts of LangGraph by building a Visual Web Browser Agent that could navigate see scroll
Developing intelligent agents using LLMs like GPT 4o Gemini etc that can perform tasks requiring multiple steps adapt to changing information and make decisions is a core challenge in AI
As AI systems become more specialized getting them to work together without endless glue code is the next big challenge That s where Google s A2A Protocol Agent to Agent
In this article we explore OmniParser a UI screen parsing pipeline combining fine tuned YOLO model for icon detection and Florence2 for icon recognition and icon description generation
AI being no longer confined to passive algorithms is transforming itself into autonomous agents that can perceive reason and act with increasing intelligence These agents are designed to navigate uncertainty
