VentureBeat

Google's new neural-net LLM architecture separates memory components to control exploding costs of capacity and compute

A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time without ...
Semiconductor Engineering

Hybrid HBM-HBF Architecture in LLM Inference (University of Oxford)

Researchers at the University of Oxford published a technical paper titled “Hardware-Managed Heterogeneous High-Bandwidth ...
MobiHealthNews

Hippocratic AI receives its first U.S. patent for LLM innovations

Safety-focused large language model company Hippocratic AI has been issued its first patent by the U.S. Patent Office, which includes the company's LLM innovations incorporated into its safety-focused ...
TMCnet

Google’s Diffusion-Based LLM Architecture Signals a Shift Beyond GPT

Google’s DeepMind team is challenging the prevailing architecture of large language models (LLMs) with a fundamentally different approach—one that could redefine how models are deployed and interacted ...

Query Fan-Out Framework Targets LLM Visibility in AI Search

InnovAit AI's Query Fan-Out Framework Redefines LLM Visibility and Generative Engine Optimization Coral Springs, United ...
Semiconductor Engineering

Scheduling Architecture Integrated With M3D BEOL Memories For LLM Inference (Georgia Tech, Samsung)

A new technical paper titled “Architecting Long-Context LLM Acceleration with Packing-Prefetch Scheduler and Ultra-Large Capacity On-Chip Memories” was published by researchers at Georgia Institute of ...
Computer Weekly

Red Hat launches llm-d community & project

The latest trends and issues around the use of open source software in the enterprise. Red Hat has announced the launch of llm-d, a new open source project designed to address generative AI’s future ...