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In the constantly evolving realm of artificial intelligence, Retrieval-Augmented Generation (RAG) stands as a pivotal development, bridging the gap between knowledge retrieval and content generation.
An overview of how to build build Large Language Model (LLM) and Retrieval Augmented Generation (RAG) pipelines using open-source models ...
For the project, the large language model ‘llama 2 70b chat‘ can be utilized. This model can generate coherent and contextually appropriate responses, enhancing the user experience.
At first glance, building a large language model (LLM) like GPT-4 into your code might seem simple. The API is a single REST call, taking in text and returning a response based on the input.But in ...