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What Are Large Action Models (LAMs)?

When you combine the linguistic fluency of an LLM with the ability to accomplish tasks and make decisions independently, generative AI is elevated to an active partner in getting work done.

Silvio Savarese

A large action model (LAM) is a type of generative AI that can perform specific actions based on user queries. These models not only analyze data, but are designed to take action based on the findings.

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Large Action Models (LAMs) FAQs

Large Action Models (LAMs) are a type of AI model designed to go beyond language generation to understand and execute complex, multi-step actions within various digital environments.

While LLMs focus on understanding and generating text, LAMs extend this by enabling the AI to interpret goals, plan sequences of actions, and interact with software and systems to achieve those goals.

LAMs combine reasoning, planning, and tool-use abilities, allowing them to perform intricate tasks like navigating software interfaces, updating databases, or orchestrating workflows.

LAMs are highly impactful in automating complex business processes across sales, customer service, operations, and IT, wherever human-like interaction with software is required.

They enable a new level of intelligent automation by interpreting high-level commands and autonomously performing the necessary steps and tool interactions to complete the task.

LAMs represent a significant step toward more autonomous and capable AI systems that can proactively assist or even independently manage sophisticated digital tasks.

Challenges include ensuring reliability and safety in autonomous actions, managing the complexity of diverse environments, and developing robust evaluation methods for their performance.