As agentic and RAG systems move into production, retrieval quality is emerging as a quiet failure point — one that can ...
Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I closely explore the rapidly emerging ...
Overview: Large Language Models predict text; they do not truly calculate or verify math.High scores on known Datasets do not ...
The AI world continues to evolve rapidly, especially since the introduction of DeepSeek and its followers. Many have concluded that enterprises don't really need the large, expensive AI models touted ...
When systems lack interpretability, organizations face delays, increased oversight, and reduced trust. Engineers struggle to isolate failure modes. Legal and compliance teams lack the visibility ...
SANTA CLARA, CA - January 13, 2026 - - As generative artificial intelligence continues to influence how software is designed, built, and deployed, engineers and data professionals are increasingly ...
There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention. Ever-more ...
A new community-driven initiative evaluates large language models using Italian-native tasks, with AI translation among the ...
The growth of generative AI (gen AI) has been driven by high-profile large language models (LLMs), such as Open AI's GPT-4o, Google's Gemini, and Anthropic's Claude. However, while these larger models ...
Small changes in the large language models (LLMs) at the heart of AI applications can result in substantial energy savings, according to a report released by the United Nations Educational, Scientific ...
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