The Power of Retrieval Augmented Generation: A Comparison between Base and RAG LLMs with Llama2
This post was co-authored with Rafael Guedes.
Introduction
Since the release of ChatGPT in November of 2022, Large Language Models (LLMs) have been the hot topic in the AI community for their capabilities in understanding and generating human-like text, pushing the boundaries of what was previously possible in natural language processing (NLP).
LLMs have been shown to be versatile by tackling different use cases in various industries since they are not limited to a specific task. They can be adapted to several domains, making them attractive for organizations and the research community. Several applications have been explored using LLMs such as content generation, chatbots, code generation, creative writing, virtual assistants, and many more.
Another characteristic that makes LLMs so attractive is the fact that there are open-source options. Companies like Meta made their pre-trained LLM (Llama2
