What are Large Action Models (LAMs)?

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About Large Action Models (LAMs):

LAMs are advanced Artificial Intelligence (AI) models.
LAMs are designed to understand and execute complex tasks, based on what users want.
Unlike large language models (LLMs), a LAM combines language understanding with logic and reasoning to execute various tasks.
LAMs learn from massive data sets of user action information and use this data for strategic planning and proactive action in real-time.
These models utilise advanced machine learning techniques, including deep learning and reinforcement learning, which enables them to learn from vast datasets and improve their decision-making capabilities over time.
By analysing past and present actions, LAMs can make educated predictions about future outcomes, thereby assisting in planning, strategy, and real-time decision-making in complex environments.
Their application ranges across numerous fields, from personal assistants, autonomous vehicles, and robotics to healthcare as well as financial modelling.

What are Large Language Models (LLMs)?

A LLM is a type of AI program that can recognize and generate text, among other tasks.
LLMs are trained on huge sets of data—hence the name “large.”
LLMs use a type of machine learning called deep learning in order to understand how characters, words, and sentences function together.
They have the ability to infer from context, generate coherent and contextually relevant responses, translate to languages other than English, summarize text, answer questions (general conversation and FAQs), and even assist in creative writing or code generation tasks.

Q1: What is Machine Learning?

Machine learning is an essential branch of artificial intelligence that employs data and algorithms to mimic human learning processes, gradually enhancing its accuracy. It is a cornerstone of the emerging field of data science. It involves training algorithms to find patterns in data, which enables them to make predictions or perform tasks without being explicitly programmed.

Source: ‘Global firms are adopting large AI models to cut costs’