Hanchen Su Contributes to Advancing LLM-Friendly Knowledge Representation for Customer Support Automation

A new framework restructures enterprise workflows into LLM-friendly knowledge representations to improve customer support automation. By ...
insideHPC

Exascale: Univ. of Maryland Researchers Nominated for Gordon Bell Prize for Extreme Scale LLM Training Using Frontier

Oct. 12, 2024 — A research team led by the University of Maryland has been nominated for the Association for Computing Machinery’s Gordon Bell Prize. The team is being recognized for developing a ...
Hosted on MSN

9 reasons why you should consider onsite LLM training and inferencing

Running large language models at the enterprise level often means sending prompts and data to a managed service in the cloud, much like with consumer use cases. This has worked in the past because ...
InfoWorld

Surveying the LLM application framework landscape

Large language models by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get a more ...
The Next Platform

Finding NeMo Features for Fresh LLM Building Boost

This week Nvidia shared details about upcoming updates to its platform for building, tuning, and deploying generative AI models. The framework, called NeMo (not to be confused with Nvidia’s ...
Interfax-Ukraine

Beta testing of national LLM planned for spring 2026 – 1st Dpty PM

Beta testing of national LLM (large language model) is planned to be launched in spring 2026, First Deputy Prime Minister for ...
ZDNet

Nvidia doubles down on AI language models and inference as a substrate for the Metaverse, in data centers, the cloud and at the edge

Machine learning, task automation and robotics are already widely used in business. These and other AI technologies are about to multiply, and we look at how organizations can best take advantage of ...