Destination
Stanford’s ChatEHR allows clinicians to query patient medical records using natural language, without compromising patient data

ChatEHR accelerates chart reviews for ER admissions, streamlines patient transfer summaries and synthesizes complex medical histories. [...]

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venturebeat
Why your LLM bill is exploding — and how semantic caching can cut it by 73%

Our LLM API bill was growing 30% month-over-month. Traffic was increasing, but not that fast. When I analyzed our query logs, I found the real problem: Users ask the same questions in different ways.& [...]

Match Score: 163.70

venturebeat
Frontier models are failing one in three production attempts — and getting harder to audit

AI agents are now embedded in real enterprise workflows, and they're still failing roughly one in three attempts on structured benchmarks. That gap between capability and reliability is the defin [...]

Match Score: 139.41

blogspot
How I Get Free Traffic from ChatGPT in 2025 (AIO vs SEO)

Three weeks ago, I tested something that completely changed how I think about organic traffic. I opened ChatGPT and asked a simple question: "What's the best course on building SaaS with Wor [...]

Match Score: 115.61

venturebeat
Why “which API do I call?” is the wrong question in the LLM era

For decades, we have adapted to software. We learned shell commands, memorized HTTP method names and wired together SDKs. Each interface assumed we would speak its language. In the 1980s, we typed � [...]

Match Score: 79.68

Destination
Microsoft's Copilot Health can use AI to turn your fitness data and medical records 'into a coherent story'

Microsoft has unveiled Copilot Health, an AI-powered tool it claims can help make sense of your medical records, health history and fitness data from wearables, should you grant it access to that info [...]

Match Score: 76.79

venturebeat
Conversational AI doesn’t understand users — 'Intent First' architecture does

The modern customer has just one need that matters: Getting the thing they want when they want it. The old standard RAG model embed+retrieve+LLM misunderstands intent, overloads context and misses fre [...]

Match Score: 63.15

venturebeat
Databricks research shows multi-step agents consistently outperform single-turn RAG when answers span databases and documents

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation co [...]

Match Score: 59.61

Destination
AI summaries can downplay medical issues for female patients, UK research finds

The latest example of bias permeating artificial intelligence comes from the medical field. A new study surveyed real case notes from 617 adult social care workers in the UK and found that when large [...]

Match Score: 52.99

venturebeat
Snowflake builds new intelligence that goes beyond RAG to query and aggregate thousands of documents at once

Enterprise AI has a data problem. Despite billions in investment and increasingly capable language models, most organizations still can't answer basic analytical questions about their document re [...]

Match Score: 51.28