A typical recipe for improving LLMs involves multiple stages: synthetic data generation (SDG), model training through supervised fine-tuning (SFT) or... A typical recipe for improving...
Tune Into We Are Developers World Congress 2025
Join us at We Are Developers World Congress from July 9 to 11 to attend our workshops and connect with experts. Join us at We...
Greyhawkery Comics: Under #12
Greetings fellow Greyhawkers! This week is a new installment of my ongoing serial, Under. New readers, check the links below to read the story from...
NVIDIA Run:ai and Amazon SageMaker HyperPod: Working Together to Manage Complex AI Training
NVIDIA Run:ai and Amazon Web Services have introduced an integration that lets developers seamlessly scale and manage complex AI training workloads. Combining... NVIDIA Run:ai and...
Introducing NVFP4 for Efficient and Accurate Low-Precision Inference
To get the most out of AI, optimizations are critical. When developers think about optimizing AI models for inference, model compression techniques—such as... To get...