Retrieval-Augmented Generation (RAG) is rapidly emerging as a robust framework for organizations seeking to harness the full power of generative AI with their business data. As enterprises seek to ...
Retrieval-augmented generation is enhancing large language models' accuracy and specificity. However, it still poses challenges and requires specific implementation techniques. This article is part of ...
Generative AI entered the global consciousness with a bang at the close of 2022 (cue: ChatGPT), but making it work in the enterprise has amounted to little more than a series of stumbles. Shadow AI ...
Every day, AI vendors bravely venture into my inbox with shiny new AI pitches. Often, they get a provocative response for their trouble. Sometimes, these conversations actually go somewhere. In this ...
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