{"id":321816,"date":"2024-09-27T10:12:17","date_gmt":"2024-09-27T10:12:17","guid":{"rendered":"https:\/\/www.techopedia.com\/?p=321816"},"modified":"2024-09-27T10:12:17","modified_gmt":"2024-09-27T10:12:17","slug":"how-large-action-models-work","status":"publish","type":"post","link":"https:\/\/www.techopedia.com\/how-large-action-models-work","title":{"rendered":"Explaining Large Action Models: How Do They Work?"},"content":{"rendered":"

Bringing together large action models (LAMs) and large language models<\/a> (LLMs) will change how businesses use AI.<\/p>\n

This mix will help artificial intelligence<\/a> understand and act more easily, predicted to improve how businesses work, enhance the customer experience, and help companies develop new products and services.<\/p>\n

While LLMs are trained to understand words and phrases and create original, grammatically correct text, LAMs are advanced AI models<\/a> that understand language and can ‘think’ through tasks to get things done.<\/p>\n

They can handle different kinds of information as multimodal models<\/a>, such as pictures, videos, and sounds, making them work more like how humans use digital content.<\/p>\n

As Nicholas Rioux, CTO, Labviva, an AI-powered digital purchasing platform<\/strong>, puts it:<\/p>\n

“When used in unison, LAMs and LLMs can transform the way we interface with technology.”<\/p>\n

All technology uses abstraction, which means showing only important details to make things simpler and faster, according to Rioux. Writing direct code for everything is too slow for big projects. LAMs and LLMs create a new way to simplify how humans interact with systems.<\/p>\n

“Ultimately, these models will become the new interface for humans and the engineered world,” he says.<\/p>\n

Techopedia explores the combination of LLMs and LAMs and what we expect might happen next.<\/p>\n

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Key Takeaways<\/span><\/h2>\n