New benchmark shows AI still misses the human side of mental health care
PsyEval is a new benchmark that tests how large language models perform on mental health knowledge, diagnostic assessment, and emotional support tasks. Source: news-medical.net
News about foundation models, LLMs, multimodal models, benchmarks, and model releases from OpenAI, Anthropic, Google, Meta, Mistral, and others.
981 articles
PsyEval is a new benchmark that tests how large language models perform on mental health knowledge, diagnostic assessment, and emotional support tasks. Source: news-medical.net
Enterprise buyers increasingly start vendor research in AI search engines, pushing B2B PR agencies to build LLM citation and GEO practices into their core... Source: marketscale.com
Exploring the links between the history of semiotics and the creation of LLMs. Source: lareviewofbooks.org
Researchers from the MIT-IBM Computing Research Lab and IBM Quantum have developed a multimodal alignment framework that maps quantum unitary operators... Source: quantumcomputingreport.com
Researchers have successfully mapped quantum operators into the latent space of a large language model, a step toward creating artificial intelligence that... Source: quantumzeitgeist.com
Mozilla.ai has launched Otari, an open-source LLM control plane to simplify managing diverse language model infrastructure for AI application developers. Source: startuphub.ai
In several long-running LLM systems I've worked on, conversation state tends to grow quickly over time. It's common to resend large portions of the history... Source: towardsdatascience.com
InnovAit AI's Query Fan-Out Framework Maps Multi-Turn Queries for Broader LLM Visibility Coral Springs, United States - Source: mymalonetelegram.com
Nemotron-Labs-Diffusion, NVIDIA's new tri-mode language model, eliminates the separate draft model in speculative decoding: one checkpoint handles drafting... Source: Tech Times
The internal "J-Space" opens up opportunities for greater training, oversight, and understanding how LLM's work. Source: Tom's Hardware
Apple is on a quest to shrink powerful AI models to run on iPhones, which could cut down on cloud computing costs and enhance user privacy. Source: The Information
A new study published in Big Earth Data proposes a large language model (LLM)-based multi-agent framework for remote sensing analysis that integrates data... Source: EurekAlert!
"Codex Step-by-Step Setup Tutorial" and "Claude Code Zero-Basics Environment Configuration" —— recently, tutorials for overseas AI Agents have become one of... Source: 36 Kr
Tencent Holdings Ltd. rapidly expanded its computing capacity after a surge in demand for its newly launched artificial intelligence model, Hy3,... Source: Caixin Global
Training a large language model (LLM) can cost millions of dollars, and deploying one at scale can cost millions more. Despite this, the raw model straight... Source: Cisco Blogs
Large language model (LLM) training workloads increasingly run into GPU memory limits before compute is fully used. Model weights, gradients, optimizer... Source: NVIDIA Developer
Anaplastic thyroid cancer (ATC) is a rare, aggressive malignancy with poor prognosis. Adherence to guidelines from the National Comprehensive Cancer Network... Source: Nature
Background Large language models (LLMs) are increasingly used in medical education; however, a gap remains in the literature comparing the performance of... Source: Cureus
Apple has held meetings with PrismML about ways it could use the startup's technology to run much larger AI models directly on iPhones, according to The... Source: macrumors.com
The Information reports that Apple may be interested in PrismML's technology. The firm is focused on shrinking AI models that generally require servers to... Source: 9to5mac.com