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5 results for “proprietary data”
Automating Multi-Hop RAG Evaluation via TRIAD: From Context Extraction to Validated Dataset Generation
Researchers introduced TRIAD, a three-stage automated method to generate domain-specific question-answer datasets for evaluating RAG systems, addressing the gap between generic benchmarks (e.g., HotpotQA) and proprietary-data evaluation needs.
Aug 25, 2026
Lockton Introduces Lockton SAGE: The Industry's First Unified Enterprise Intelligence Platform
Lockton launched Lockton SAGE, a proprietary enterprise intelligence platform integrating AI, analytics, and internal data to support client risk and insurance decision-making.
Aug 4, 2026
Benchmarks Are Not Validation: A System-Level View of Financial LLM Applications
The article argues that benchmark scores alone are insufficient for validating large language models in financial applications, advocating instead for system-level validation across data, model design, retrieval, generation, agent behavior, governance, and implementation.
Aug 3, 2026
S&P Global Market Intelligence Launches ETF Intelligence
S&P Global Market Intelligence launched ETF Intelligence, a new analytics service integrating proprietary data and market insights to deliver insights across more than 15,000 global ETFs.
Jul 16, 2026
Trump restrictions on private AI models turn attention to open source
The Trump administration imposed restrictions on private AI model releases from companies like Anthropic and OpenAI, prompting increased advocacy for open-source AI alternatives.
Published Jul 5, 2026 · Analyzed Jul 9, 2026