Scaling Generative AI: An Operational Readiness by Amit Prabhu(.ePUB)+

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File Size: 10 MB

Scaling Generative AI: An Operational Readiness Framework for Enterprises by Amit Prabhu
Requirements: .ePUB, .PDF reader, 10 MB
Overview: This book contains the operational readiness framework, providing step-by-step guidance to enterprises to prepare themselves for the scaled adoption of Generative AI. Different enterprises have reacted differently to the Generative AI hype. The real value of Generative AI lies in the scaled adoption. Only 10 percent of the enterprises have been able to scale. A staggering 90 percent of them are lagging. This has caused a “huge gap” between the scaling and lagging firms. Closing this huge gap is a daunting task. This book contains the operational readiness framework, providing step-by-step guidance to enterprises to prepare themselves for the scaled adoption of Generative AI. In a prompt based business architecture, LLMs are developed, pretrained, and fine-tuned with built-in applications provided by the vendor. A user just needs to write prompts to generate the required inference. In application based business architecture, LLMs are developed, pretrained, and fine-tuned by the vendor. But the applications need to be developed by the business before starting to prompt them. In fine-tuning based business architecture, LLMs are developed and pretrained on a large corpus of unlabeled data by the vendor. But the model needs to be fine-tuned and applications need to be developed by the enterprises before applying prompts on them. In development based business architecture, the enterprises build an LLM from the scratch, then pretrain and fine-tune it, and develop an application before starting to apply prompts to it.
Genre: Non-Fiction > Tech & Devices

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