Nigeria’s long-standing reliance on overseas medical treatment is under fresh scrutiny after CBN data showed a 96 ...

KAYTUS announced that it has accelerated the deployment of large-scale liquid-cooled AI data centers through its integrated turnkey service. By combining deployment and commissioning, KAYTUS delivers ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Parallel Learning, a virtual special education platform, secured $20 million in Series B funding to address critical nationwide special education teacher shortages and resource gaps. The company ...

Comprehensive Training Pipelines: Full support for Diffusion Language Models (DLMs) and Autoregressive LMs, from pre-training and SFT to RL, on both dense and MoE architectures. We strongly recommend ...

NVIDIA's NVL72 systems are transforming large-scale MoE model deployment by introducing Wide Expert Parallelism, optimizing performance and reducing costs. NVIDIA is advancing the deployment of ...

In a new paper, researchers from Tencent AI Lab Seattle and the University of Maryland, College Park, present a reinforcement learning technique that enables large language models (LLMs) to utilize ...

1 Institute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Guanghan, China 2 School of Information Engineering, Southwest University of Science and Technology, ...

I'm trying to run inference within the LightningTrainer using a litgpt model with 2d parallelization (TP+FSDP) while using a Bitsandbytes precision plugin to enable quantization, however I get into ...

Abstract: With the rapid adoption of large language models (LLMs) in recommendation systems, the computational and communication bottlenecks caused by their massive parameter sizes and large data ...