Large action models (LAMs) are a term used in the fields of artificial intelligence, industry and Factory 4.0 as well as automation. They describe particularly large and powerful AI models that specialise in deriving and executing complex chains of action. LAMs analyse huge amounts of data and recognise correlations in order to suggest suitable actions or carry them out independently.
Imagine that in a modern factory, robots should not only carry out individual work steps, but also react flexibly to changes in production. A large action model can analyse various sensor data, react to disruptions and even reschedule the best production sequence in real time.
This saves the company time and money and reduces error rates. LAMs therefore help to control processes as efficiently, securely and flexibly as possible - and are particularly adaptable thanks to their size and performance. They are increasingly being used when traditional systems reach their limits.
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