From a0e69f0936426f3042cc16ab0655d3ff581292e7 Mon Sep 17 00:00:00 2001 From: Subhransu Bhattacharjee Date: Sun, 10 Sep 2023 19:14:04 +1000 Subject: [PATCH] Update README.md Signed-off-by: Subhransu Bhattacharjee --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 81fd544..404f943 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # Mangrove: A Dynamic Data Management System for Advanced AI Applications -Unlock a new paradigm of data management with Mangrove—a high-density, multi-dimensional data structure engineered to streamline variable handling across various depths and types. Mangrove simplifies data management in Robotics, NLP, computer vision and other AI applications by providing a versatile and efficient way to handle variables of varying types and depths. By using Mangrove, you can focus more on your AI model development and less on data organization. +Unlock a new framework of data management with Mangrove—a high-density, multi-dimensional data structure engineered to streamline variable handling across various depths and types. Mangrove simplifies data management in Robotics, NLP, computer vision and other AI applications by providing a versatile and efficient way to handle variables of varying types and depths. By using Mangrove, you can focus more on your AI model development and less on data organization. ## Description Mangrove is a utility data structure designed to manage various types of data within multi-layered superstructures, denoted by 'depths.' It offers high-fidelity operations, including the ability to transfer values to the GPU for accelerated computing. As the program runs, Mangrove naturally organizes data in a structured manner based on its importance and requirements. It can move priority tensors to the GPU for computation and later retrieve them, adding them back as attributes within the same instance. This provides an end-to-end management utility well-suited for large-scale, episodic training processes and data acquisition systems, making it highly versatile and applicable to a range of use cases.