NYU Langone has built an LLM research companion and medical advisor, and is pioneering what it calls AI-driven “precision ...

TTFT, TBT, Normalised Latency and TPOT). However, these metrics fail to fully capture the nuances of LLM inference, leading to an incomplete assessment of user-facing performance crucial for real-time ...

It is important that a health care team is aware of and understands a patient's goals of care, both medical and personal. But ...

Aurora Mobile (JG) announced that its enterprise AI agent platform, GPTBots.ai, has unveiled its enhanced on-premise deployment solutions powered by the integration of the DeepSeek LLM.

Here are ambient AI vendors scored by their ability to support EHR integration, according to a Feb. 4 KLAS Research report that surveyed dozens of health system customers. The scores are based on ...

Users can also accomplish these tasks via AdvancedMD’s mobile EHR iOS and Android app, which helps providers see patient details in real time, check insurance eligibility, send paperless faxes and ...

A set of 5862 free MIT-licensed high-quality SVG icons for you to use in your web projects. Each icon is designed on a 24x24 grid and a 2px stroke. If you load an icon as an image, you can modify its ...

A heated debate has been sparked on whether India should build use cases on top of existing Large Language Models (LLM) versus building foundational models, this time by a little-known Chinese ...

I think LLM “commoditization” will benefit Palantir by providing cheaper, efficient AI solutions. The Trump administration's deregulation and ties with Silicon Valley, including Palantir ...

Recognizing the rising costs of bloated LLM architectures early on, Rezolve Ai implemented a resource-efficient strategy to improve performance and affordability for the retail and commerce sectors.

The worst fears of the Large Language Model (LLM) community have come true. A large-scale cyberattack on DeepSeek drives home the message that security vulnerabilities are the key challenge facing ...

At the core of causal inference lies the challenge of determining reliable causal graphs solely based on observational data. Since the well-known backdoor criterion depends on the graph, any errors in ...