Agentic AI vs LLMs: Why an Agent Doesn't Stop at the Answer
An LLM is like a calculator: for a given input, it generates a response, and once it has given you an answer, it stops.
An agentic system is like an expert assistant that can solve tasks, use new tools,
write code, and run programs. You're no longer working with a single model response, but rather a whole system that can reason, think longer, and take actions in the real world.
With Azalia Mirhoseini, Assistant Professor of Computer Science, and Aakanksha
Chowdhery, Adjunct Professor of Computer Science, Stanford University.
Learn more: https://stanford.io/4Acgri9
#AgenticAI #LLM #AIAgents #Stanford
An agentic system is like an expert assistant that can solve tasks, use new tools,
write code, and run programs. You're no longer working with a single model response, but rather a whole system that can reason, think longer, and take actions in the real world.
With Azalia Mirhoseini, Assistant Professor of Computer Science, and Aakanksha
Chowdhery, Adjunct Professor of Computer Science, Stanford University.
Learn more: https://stanford.io/4Acgri9
#AgenticAI #LLM #AIAgents #Stanford
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