A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.
This article presents challenges and solutions regarding health care–focused large language models (LLMs) and summarizes key recommendations from major regulatory and governance bodies for LLM ...
Ankit is an ethical AI and data engineering expert at Google focused on customers' successful data and machine learning journeys. As an ethical AI enthusiast who has led the implementation of large ...
Combining a host biomarker with large language model analysis improves lower respiratory tract infection diagnosis in ICU ...
A new global standard has been released to help organizations manage the risks of integrating large language models (LLMs) into their systems and address the ambiguities around these models. The ...
New firm helps enterprises deploy open-source and private LLM systems with full data control, transparency, and production-grade scalability ...
A new community-driven initiative evaluates large language models using Italian-native tasks, with AI translation among the ...
Anil Sood currently leads the AI Governance practice at EY Canada. Connect with him on LinkedIn. The views expressed here are personal. Leading the financial services industry, banks have ...
The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...
ETRI, South Korea’s leading government-funded research institute, is establishing itself as a key research entity for ...
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