[Data] How to Implement Generative AI in Business Operations Beyond Just a Proof of Concept
We provide comprehensive guidance from selecting the LLM, preparing data, forming teams, to executing the PoC.
This document provides a detailed explanation of a comprehensive framework for maximizing the potential of AI and effectively transitioning from Proof of Concept (PoC) to a production environment. It addresses the challenges of AI implementation, including the lack of standardized processes, the absence of appropriate tools, and the underdeveloped automated pipelines. If you are considering implementation, please take a moment to read it. 【Contents (Excerpt)】 ■ Introduction to Generative AI Implementation Support Services ■ Challenges in AI Implementation ■ Evals: Accurately Measuring LLM Performance ■ RAG (Retrieval-Augmented Generation): Effectively Integrating Advanced External Knowledge *For more details, please download the PDF or feel free to contact us.
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