Future Scope and Conclusion
LAM has been integrated into a phone-sized standalone AI device called “Rabbit R1” featuring a 2.88-inch touchscreen, a rotating camera, and a scroll wheel/navigation button that can be controlled directly on the device or by voice via a far-field microphone developed in collaboration with Teenage Engineering. It can perform approximately all the above-mentioned tasks like booking a cab, ordering food online, etc. But “Rabbit R1” is not limited to performing these tasks only you can teach Rabbit in one shot to perform any task. You can check out more about the product at Rabbit.
Apart from this device, LAMs have endless potential in various domains:
- Healthcare: To revolutionize patient care through advanced diagnostics and personalized treatment plans.
- Finance: In revolutionalizing risk assessment, fraud detection, and algorithmic trading.
- Automobile: To develop autonomous driving technologies and enhance vehicle safety systems, etc.
In conclusion, LAM (Large Action Models) are commendable pieces of technology that has a lot of potential in coming future. It will in the forefront shaping the future of AI and drive advancements across the industries.
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