AI Inferencing Is Growing In Importance—And RAG Is Fueling Its Rise [Forbes]
MongoDB, Inc. - Class A (MDB)
Last mongodb, inc. - class a earnings: 3/17 04:05 pm
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Source: Forbes
to deliver fine-tuned answers to the prompts given to an AI model, whether that's by a human or agentic AI. Inferencing will grow in importance in delivering specialized and fine-tuned AI intelligence. It requires a different technology infrastructure stack from that used for training AI models. One of the building blocks is a technology called Retrieval-Augmented Generation, which is a way to infuse large language models with additional data. RAG can also help drive down the costs of serving up AI inference. RAG is growing in importance as more enterprises need to collect and apply specific data to AI applications to ensure depth and accuracy. RAG-based models use specific custom data to apply up-to-date knowledge to generate more accurate, relevant, and trustworthy responses. In a , "RAGs to Riches: The New Era of AI Inferencing," analyst Craig Matsumoto recently dove into RAG and found it will drive a lot of technology subsegments, including vector databases, edge networking, a
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