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

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

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

Assists in the preparation and serving of meals in healthcare or residential facilities, ensuring dietary requirements are met.

Performs manual labor tasks in a warehouse, such as loading and unloading goods, organizing inventory, and maintaining a clean work environment.

A certified professional who applies principles of behavior analysis to improve socially significant behaviors. Often works with individuals with autism and developmental disorders.

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

Responsible for organizing and managing schedules for employees, resources, or appointments to ensure optimal efficiency. Often works in various industries to maintain smooth operations and minimize conflicts.