Large Language Models for Agent-Based Modelling: Current and possible uses across the modelling cycle
Read the original on arXiv AI →The Flow has not summarised this story yet — read it at arXiv AI.
The Flow has not summarised this story yet — read it at arXiv AI.
The article discusses the rise of large language models (LLMs) and their growing influence on our decisions and actions. It explores the concept of agentic LLMs—LLMs that can act directly in the real world and interact with one another. The book aims to explain how these agentic LLMs function, their capabilities, and the implications for users.
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The article introduces the concept of Agentic Large Language Models, which extend traditional LLMs by enabling them to act directly in the real world and interact with one another. It outlines how these agentic LLMs function, their mechanisms for action, and the implications of their capabilities for users. The discussion highlights the growing influence of LLMs on decision-making and explores the potential shifts in how we engage with AI tools.
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