The Agentic Shift- Are We Reasoning, Or Just Retrieving Smarter? | Jaydeep Chakrabarty | TestMu 2025
In this engaging TestMu session, πππ²ππππ© ππ‘ππ€π«ππππ«ππ², Director of AI at Piramal Capital & Housing Finance Limited, explores the anticipated Agentic Shift in AI, asking a fundamental question: Are we truly moving toward autonomous reasoning in 2025, or are we just retrieving smarter?
The talk traces AIβs journey from the limitations of vanilla LLMs to Retrieval Augmented Generation (RAG) systems that enhance accuracy with contextual knowledge, before turning to Agentic Frameworks where AI defines its own reasoning path, plans, and iterates toward solutions.
Jaydeep also unpacks practical models like ReAct (Reason+Act) that empower agents to analyze complex problems, make decisions, and execute actions. By comparing βFast Thinkerβ RAG systems with βSlow Thinkerβ Agentic solutions, this session will challenge existing perceptions and equip you with a mental model to decide when AI should retrieve smarter, and when it should reason independently.
Pilot with purpose: Begin with micro-deployments in trusted teams.
Evolution from RAG to Agentic Frameworks - and why agents are the next frontier.
Clear distinction between RAGβs fixed logic and agentsβ autonomous reasoning.
A mental model for choosing between βFast Thinkerβ (RAG) and βSlow Thinkerβ (Agentic) approaches.
Demystifying the ReAct principle for designing AI agents that plan and act independently.
A challenge to rethink AIβs future, retrieval or reasoning?
TestΞΌ
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