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RAG, short for Retrieval-Augmented Generation, is a powerful approach used in modern AI and machine learning (ML) models to generate responses and outputs.

The Turing Test is a famous and foundational framework for evaluating machine intelligence.

Text Generation Inference is the process of generating coherent and contextually relevant text from a trained language model given an input prompt.

Low-Rank Adaptation for Large Language Models is a technique that enables fine-tuning of large pre-trained models while reducing computational costs and memory usage.