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Are LLMs and RAG Trustworthy Enough for Your Business?: A Deep Dive Into AI's Reliability
Abstract
Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems into business operations has become a transformative force. In the literature, the advantages as well as the disadvantages of this integration are discussed. The chapter discusses some latent risks involved in AI, namely, AI-data bias, adversarial vulnerabilities, privacy concerns, and domain-specific limitations, while putting forward methodologies for their mitigation through better data management and strong security protocols. The chapter also discusses the prospect of the future of changes that could be made in reliable and safe AI. Stitching together these divergent insights, this paper contributes to an understanding of how businesses can use LLMs and RAG systems responsibly in ways that keep AI adoption in step with meeting ethical compasses and operational integrity. It forms a core reference to guide institutions in their efforts to harness the full potential of artificial intelligence technologies in their operations regarding the intricacies involved in trust and risk management.
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