PEFT modifies a subset of parameters in pre-trained neural networks, rather than updating all model parameters.
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LLaMA2, introduced by Meta in 2023, is an open-source large language model (LLM) family with models having 7 billion or 70 billion parameters.
Fine-tuning Large Language Models (LLMs) involves adjusting pre-trained models on specific datasets to enhance performance for particular tasks.
Retrieval-Augmented Generation (RAG) merges LLMs with retrieval systems to boost output quality. Fine-tuning LLMs tailors them to specific needs on given datasets.