Agentic Large Language Models
A book explains how agentic language models act in the world and interact with each other.
This preprint introduces a book on agentic large language models, which combine language-model reasoning with the ability to act in the world. It outlines discussion of how such systems work, take actions, interact with one another, and affect users whose decisions are already influenced by model answers. The abstract does not name a model, report benchmarks, or present experimental results.
- Book covers agentic LLMs that can act, not only answer.
- Discusses real-world action and interaction between models.
- Abstract reports no new model, benchmark, or experiment.
From the original article
1 min read at arxiv.orgLarge language models (LLMs) have taken the world by storm. Their ability to communicate with us in our own language, and to reason about our world, has made them a favorite tool for writing, answering questions, and much more. Their answers already influence our decisions and our actions.
By Max van Duijn · arxiv.org
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