Are Large Language Models A Dead End Or Simply Incomplete?

Once a model is deployed, its internal structure is effectively frozen. Any real learning happens elsewhere: through retraining cycles, fine-tuning jobs or external memory systems layered on top. The ...
The Lancet

CARDBiomedBench: a benchmark for evaluating the performance of large language models in biomedical research

Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...
Digi Times

DeepSeek V4 update: Conditional memory reshapes large-model efficiency

DeepSeek founder Liang Wenfeng has published a new paper with a research team from Peking University, outlining key technical directions for next-generation sparse large language models. The study is ...
Business Wire

Z.ai Open-Sources GLM-4.7, a New Generation Large Language Model Built for Real Development Workflows

SINGAPORE--(BUSINESS WIRE)--Z.ai released GLM-4.7 ahead of Christmas, marking the latest iteration of its GLM large language model family. As open-source models move beyond chat-based applications and ...
EurekAlert!

A survey on multilingual large language models: corpora, alignment, and bias

Multilingual Large Language Models (MLLMs) have achieved remarkable success in advancing multilingual natural language ...
EurekAlert!

SPECTRA: Towards a new framework that accelerates large language model inference

This figure shows an overview of SPECTRA and compares its functionality with other training-free state-of-the-art approaches across a range of applications. SPECTRA comprises two main modules, namely ...
Search Engine Land

What is LLMO? Optimize content for AI & large language models

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...