Full fine-tuning (FT) is commonly employed to tailor general pretrained models for specific downstream tasks. To reduce the training cost, parameter-efficient…
Full fine-tuning (FT) is commonly employed to tailor general pretrained models for specific downstream tasks. To reduce the training cost, parameter-efficient fine-tuning (PEFT) methods have been introduced to fine-tune pretrained models with a minimal number of parameters. Among these, Low-Rank Adaptation (LoRA) and its variants have gained considerable popularity because they avoid additional…

This post is part of the NVIDIA AI Red Team’s continuing vulnerability and technique research. Use the concepts presented to responsibly assess and increase…
NVIDIA Video Codec SDK provides a comprehensive set of APIs for hardware-accelerated video encode and decode on Windows and Linux. The 12.2 release improves…
Experience and test Llama3-ChatQA models at scale with performance optimized NVIDIA NIM inference microservice using the NVIDIA API catalog.
SyncTwin GmbH, a company that builds software to optimize production, intralogistics, and assembly, is on a mission to unlock industrial digital twins for small…