Browsing: Generative AI

The user asks “what is the effective date of this policy?”. Retrieval returns five candidate line-windows and passes them all to the LLM in one prompt. The LLM reads all five to extract the same date the first candidate already had. Chunks two to five were signatures, footnotes, and a paragraph about historical dates. Paid…

People have hard questions about AI and work: which jobs will change, which tasks are being automated, and what it means for their own field. The Anthropic Economic Index exists to help answer them with real data. Today we’re launching the Anthropic Economic Index connector for Claude, which lets anyone explore that data directly.

A team of psychologists, computer scientists, and physicists from Italy, Slovenia, and South Korea has proposed seven “fault lines” between human and artificial intelligence (AI). The researchers question the extent to which AI is yielding intelligence, at least in the same form as human intelligence. The authors note the critical shift that occurred between statistical…

Large language models (LLMs) show considerable potential for atrial fibrillation (AF) management, yet current clinical applications frequently remain suboptimal due to accuracy limitations. To address these limitations, this study developed PULSE (Potentiated User-friendly LLM-driven Search Engine), a novel knowledge-enhanced, domain-aware LLM agent specifically designed to improve AF patient self-management across the entire care continuum. The…