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An autonomous entity that uses artificial intelligence to perform tasks, make decisions, and interact with environments or users.

Retrieval-Augmented Generation (RAG) is a technique in natural language processing (NLP) that enhances the accuracy and relevance of responses generated by large language models (LLMs). RAG works by combining the strengths of both retrieval-based models, which extract information from external sources, and generative models, which create original content.

AI-driven refers to systems, processes, or technologies that are powered or guided by artificial intelligence algorithms to automate tasks, make decisions, or provide insights.

Refers to the tools and frameworks used to develop, train, and deploy AI models and applications.

AI processing that occurs on edge devices, enabling real-time data analysis and decision-making without relying on cloud connectivity.

A framework for developing applications powered by language models, enabling the integration of natural language processing capabilities into software.

A modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

A utility-first CSS framework that provides low-level utility classes to build custom designs without writing CSS from scratch.

A process of connecting multiple software applications or systems so they can share data and functionalities. It enhances workflow efficiency by automating data exchange and enabling cohesive operations.