Large Language Models (LLMs), a technological marvel for knowledge generation and reasoning, leverage pre-training on vast amounts of publicly available data. Our expertise harnesses the power of advanced AI to enhance communication, automate processes, and drive innovation for your business.
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Retrieval-Augmented Generation (RAG) is an approach that combines ideas from both retrieval and generation models to enhance the performance of natural language understanding and generation tasks. It's particularly useful for tasks involving long-context understanding, where information needs to be retrieved from a large set of documents or knowledge sources before generating a response.