Articles tagged with LLMs on Trustnoww.
Examining the architectural shift from pure parametric models to retrieval-augmented generation, and what this means for trust and accuracy in AI systems.
Published: 2025-11-03
A comparative study examining how Google's Gemini and Microsoft's Copilot handle data source attribution, with focus on accuracy and transparency.
Published: 2025-10-27
Observational analysis of how ChatGPT handles source citations across different query types, including accuracy patterns and common failure modes.
Published: 2025-10-20
How structured data formats like Schema.org markup influence AI retrieval systems and what this means for content discoverability in the age of generative search.
Published: 2025-10-13
Examining how traditional data governance frameworks must evolve to address the unique challenges posed by generative AI systems, including data lineage, quality assurance, and compliance.
Published: 2025-10-06
An analysis of the mechanisms large language models use to assess source credibility, including citation patterns, domain authority signals, and content consistency checks.
Published: 2025-09-29