4250 - 利用代理使用 IBM 的 Granite 开源模型分析和研究图像.pdf

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1、IBM TechXchange2025 conference Utilizing Agents to Analyze and Research Images with IBMs Granite open-source ModelsIBM TechXchange|2025 IBM Corporation1#IBMTechXchangeShonda Witherspoon Research software engineerLin Ju Program Director,watsonx.ai INTRODUCTION TO AGENTIC AIWHAT ARE AI AGENTS?AI agent

2、s are autonomous systems designed to perceive their environment,reason about it,and take actions to achieve specific goals.Unlike traditional AI models that operate in isolation,agents are capable of collaboration,decision-making,and task execution.Agents are effective because theyWork independently

3、 or CollaborateUtilize toolsMake decisionsCombine perception,reasoning,and action in a loopAdapt to changing environmentsREAL WORLD USE CASES AI Agents in Customer SupportAI agents handle inquiries,provide solutions,and escalate issues without human involvement,improving efficiency.Agents in Autonom

4、ous VehiclesAgents interpret sensor data and make safe driving decisions to navigate autonomous vehicles effectively.Research Assistance by AgentsAgents gather information,summarize findings,and generate reports to support academic and professional research.AGENT FRAMEWORKSCrewAI is a Python framewo

5、rk for building collaborative teams of autonomous AI agents that work together to complete complex tasks Core Concepts:Crews:Teams of role-based agents(e.g.,researcher,writer)that collaborate intelligently.Flows:Structured,event-driven workflows for precise task orchestration.Key Capabilities:Autono

6、mous decision-makingTool/API integrationIntelligent task delegationEvent-driven controlAGENT FRAMEWORKSAutoGen is an open-source framework from Microsoft Research for building agentic AI systemsteams of AI agents that collaborate to solve complex tasks.Core Purpose:Simplifies development of multi-ag