What is Pattern Recognition?
Patterns are everywhere in this world. Humans learn things based on patterns. Like: You searched for an article on the internet related to technology and found an article from GFG, you searched for articles on many topics, and you found that all articles are very insightful. So, your mind built a pattern that articles at GFG are insightful and correct. And you’ll always read from GFG from now onwards. Now coming to the digital world, here everything is a pattern. Whether it is the color of the fonts you’re looking at or the background behind these fonts everything is a pattern. You can see a pattern physically or represent it mathematically. Whole Artificial Intelligence is based on this pattern recognition. Pattern recognition is a process of finding patterns in the data using machine learning algorithms and labeling them into classes based on the extracted patterns or knowledge already gained. Pattern recognition is used in various tasks like Image processing, Image Segmentation, Computer Vision, Seismic analysis, Speech Recognition, Fingerprint Recognition, etc. Pattern recognition usage possibilities are endless.
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