Remove 2020 Remove compliance Remove Traceability
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RAG Explained: What Is Retrieval-Augmented Generation?

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Notably, the term RAG was coined in a 2020 research paper by Facebook AI (Meta) that described retrieval-augmented generation as a general-purpose fine-tuning recipe for enhancing knowledge-intensive tasks. While the acronym might sound funny, the concept has proven incredibly powerful. in its answers.

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SaaStr Podcasts for the Week with Front and ICONIQ Capital — April 3, 2020

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For financial services, it could be the why is around secure and efficient compliance. Harry Stebbings: What about the softer ones, which isn’t directly traceable but it’s an ecosystem play as well? The post SaaStr Podcasts for the Week with Front and ICONIQ Capital — April 3, 2020 appeared first on SaaStr.

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A Technical Deep Dive Into Building AI Products for the Enterprise with Contextual AI’s CEO Douwe Kiela

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Staleness and compliance — language models must be up-to-date, compliant with regulations, and able to be revised on the fly without having to retrain the entire thing every time. Fast forward from 2020 to now, and you can see RAG everywhere. Hallucination with very high confidence — making up stuff that isn’t true but seems true.