LexisNexis' chief AI officer explains why standard RAG fails in high-stakes legal AI — and how graph RAG, planner agents, and ...
New research by Cleveland Clinic and Dyania Health demonstrates how a medically trained large language model system can accurately and efficiently screen electronic medical records (EMRs) to identify ...
A much faster, more efficient training method developed at the University of Waterloo could help put powerful artificial intelligence (AI) tools in the hands of many more people by reducing the cost ...
A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...
The dominant narrative about AI reliability is simple: models hallucinate. Therefore, for companies to get the most utility from them, models must improve. More parameters. Better training data. More ...
AI assistants struggle with stale training data. Integrating live search can keep answers current and grounded in fresh sources.
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