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OriGen.AI uses 10 technologies like Amazon Relational Database Service (RDS), AWS CloudFormation, and AWS Lambda. View OriGen.AI's complete Tech Stack.

OriGen.AI Programming Languages And Frameworks Technology

Amazon Relational Database Service (RDS) is a distributed relational database service by Amazon Web Services. It is a web service running in the cloud designed to simplify the setup, operation, and scaling of a relational database for use in applications.
C++
C++ is a high-level, general-purpose programming language created by Bjarne Stroustrup as an extension of the C programming language, or "C with Classes".
Django is a Python web framework.
Node.js is an open-source, cross-platform, JavaScript runtime environment that executes JavaScript code outside of a web browser.
Python is an interpreted high-level programming language for general-purpose programming. Python features a dynamic type system and automatic memory management. It supports multiple programming paradigms, including object-oriented, imperative, functional and procedural, and has a large and comprehensive standard library.

OriGen.AI Devops And Development Technology

AWS CloudFormation gives users an easy way to model a collection of related AWS and third-party resources, provision them quickly and consistently, and manage them throughout their lifecycles, by treating infrastructure as code.

OriGen.AI Platform And Storage Technology

AWS Lambda is an event-driven, serverless computing platform provided by Amazon as a part of Amazon Web Services. It lets clients run code without provisioning or managing servers.

OriGen.AI Business Intelligence And Analytics Technology

Neptune AI is a metadata store for MLOps, built for research and production teams for experiment management and collaboration in Data Science projects.
PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
Tensorflow is an end-to-end open source machine learning platform. It allows developers to create large-scale neural networks with many layers.

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