Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...

In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

I'm not sure if this should go here or in the mypyc issue tracker. I believe its a bug in mypy itself which only causes notable issues when you compile code with mypyc. TypeGuard behavior does not ...

In this tutorial, we guide users through building a robust, production-ready Python SDK. It begins by showing how to install and configure essential asynchronous HTTP libraries (aiohttp, nest-asyncio) ...

This project aims to combine the latest LLMs, Multi-Step Asynchronous Function Calling, Natural Language Processing, and Text-to-Speech.

Introduction: Leadless pacemakers (LPs) provide effective ventricular pacing without the risk associated with leads and pulse generators required for transvenous pacemakers. LPs are appealing for ...

Abstract: Despite advancements in the areas of parallel and distributed computing, the complexity of programming on High Performance Computing (HPC) resources has deterred many domain experts, ...