Abstract: Retrieval-augmented generation (RAG) is used in natural language processing (NLP) to provide query-relevant information in enterprise documents to large language models (LLMs). Such ...
Coding, transcription, and other productivity tools proved the most invasive, though several other categories are worth watching as well.
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