RAG

Artificial IntelligenceDigitalLLMRAG

Specialized Small AI Models: Reshaping the Future of AI Technology

Generative AI’s initial allure is giving way to a more practical, specialized approach, with smaller, focused models gaining ground. Organizations are also shifting towards on-device AI for privacy and efficiency. While Gen AI faces challenges, aligning AI initiatives with organizational goals and focusing on sustainability can lead to strategic success. Embracing specialized models, open-source solutions, and sustainability is crucial while avoiding the Gen AI trap. I lay out in detail how in this article.

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AI StrategyArtificial IntelligenceDigitalLLMRAG

PepsiCo and JetBlue: Case Studies in Securing RAG LLM Deployments

The rise of Retrieval-Augmented Generation (RAG) models in natural language processing has brought about significant changes in various industries. This article focuses on the secure deployment of RAG Language Learning Models (LLMs), including role-based access control, secure hosting environments, and continuous monitoring. Case studies from PepsiCo and JetBlue illustrate their approaches to securing generative AI in both internal and external contexts.

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