What is Action Model Learning?
Action Model Learning is a form of Inductive Reasoning used in Artificial Intelligence. Where an AI model learns new things by their agent’s observations. In this type of learning a model learns how to perform a task by observing another model performing the same task. It might sound like Reinforcement learning, but it is different from Reinforcement Learning where the model is trained using a reward and punishment mechanism. When it predicts a correct output, it gets rewarded and when it predicts a wrong output it gets punished. Instead, Action Model Learning uses reasoning about actions rather than conducting trials in the real world. Any correct input/output pairs are never presented in action model learning, nor are imprecise action models explicitly corrected.
Action model learning has various benefits. It can help AI agents learn how to perform tasks more efficiently by observing how others are performing them. It can also help agents utilize their knowledge of new scenarios and improve their ability to plan and execute actions.
Rabbit AI: Large Action Models (LAMs)
The Large Action Models (LAMs) are advanced artificial intelligence systems that are capable of understanding the human intention and predicting actions. In this article, we will be covering the fundamentals, working and architecture of the Large Action Models.
We have all heard about Generative AI & LLMs, used them, and seen their tremendous impact across various industries, especially in tasks like conversation bots, image generation, and customer service. They provide great information regarding asked queries. They mainly work by predicting the next word that should be there using natural language processing techniques. You must have used tools like ChatGPT, MidJourney, and Bard, which are the most common examples of Generative AIs and Large Language Models. These tools are fostering innovation in different kinds of tasks like content creation, website designing, and text-to-image / video generation, and the list keeps on growing.
However, there is one area where all these LLM models lack, and that is taking “ACTIONS” based on the commands given by the user. These models can provide detailed steps to perform a task but cannot perform the task on your behalf. The aim of the article is to cover the fundamentals of this cutting-edge technology and its applications.
Table of Content
- What is Action Model Learning?
- What is Pattern Recognition?
- What is Neuro-symbolic programming?
- What are Large Action Models?
- Applications of LAMs
- Working of LAMs
- Technical Aspects of Large Action Models