From Predictions to Action: The AI Agent Revolution with Fareeha Amber Ansari
Автор: Data Science and AI Hub
Загружено: 2025-11-12
Просмотров: 39
Large language models are powerful, but their true potential emerges when they evolve into AI agents which are systems that can reason, plan, and take action autonomously. My talk will explore the shift from using models as passive tools to designing agents that actively interact with data, systems, and people.
I will cover:
Gen AI and Agentic AI – How are These Different
Single Agent (monolithic) and Multi Agent Architectures (modular / distributed)
Open Source and Closed Source AI Systems
Challenges of Integrating Agents with Existing Systems
I will break down the technical building blocks of AI agents, including memory, planning loops, tool integration, and feedback mechanisms. Examples will be used to highlight how agents are being used in workflow automation, knowledge management, and decision support.
I will wrap up with where limitations of AI Agents still pose risks:
Assessing Maturity Cycle of Agents
Cybersecurity Risks of Agents
By the end, attendees will understand:
What makes AI agents different from LLMs
Technical considerations required to build AI Agents responsibly
Applicable knowledge to begin experimenting with agents.
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