Applications of LAMs
From tackling simpler tasks like:
- Ordering a Cab
- Ordering Food
- Sending emails
- Scheduling meetings, etc.
To complex tasks like:
- Planning a whole trip abroad, including flight, hotel, and cab bookings, while creating a travel itinerary. This involves various websites and applications.
- On-the-go video/audio translation, etc.
A LAM (Large Action Model) can do all that in a matter of seconds because of its working principle and the architecture it’s designed on. Apart from these applications, LAMs can be utilized in robot motion planning, human-robot interaction, and game development, which will allow for realistic and intelligent behavior of non-player characters (NPCs) and enhance the overall gameplay experience.
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