Discover how Agentic AI moves beyond reactive systems to proactive, goal-driven intelligence.
Host Priti and guest Vino explore real-world uses, ethical challenges, and human-AI collaboration.
Learn how Agentic AI supports productivity, especially for neurodivergent individuals, and what's next in multi-agent systems.
Key Learnings:
What defines Agentic AI and how it differs from traditional AI
Real-world applications and productivity benefits
Guest Speaker - Vinodhini Ravikumar — Engineering Leader at Microsoft & Founder of Mind Mosaic AI
Check the references below. Dig deeper if you’d like! We all see things our own way, so feel free to explore.
References -
ReAct: Synergizing reasoning and acting in language models (ICLR 2023) — Yao et al.
Talk to Right Specialists: Routing and Planning in Multi-agent System for Question Answering (2025) — Wu et al.
Language Models as Zero-Shot Planners (ICML 2022) — Huang et al.
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances (2022) — Ahn et al.
Code as Policies: Language Model Programs for Embodied Control (ICRA 2023) — Liang et al.
BOLAA: Benchmarking and Orchestrating LLM-Augmented Autonomous Agents (ICLR 2024 Workshop) — Liu
Agent AI Towards a Holistic Intelligence (2023) — Huang et al.