NVIDIA

NVIDIA launches four NeMo Retriever NIM microservices to improve LLM accuracy and performance. These tools enable efficient retrieval-augmented generation, connecting models to business data. They offer 30% fewer inaccurate answers in enterprise applications and integrate with various platforms.

NVIDIA's new NeMo Retriever microservices improve AI accuracy by efficiently fetching relevant business data. They reduce inaccurate answers by 30% in enterprise settings.

Mistral AI and NVIDIA release Mistral NeMo, a 12B parameter model with a 128k token context. It excels in reasoning, knowledge, and coding across multiple languages, outperforming similar models.

The research used GPU-powered simulations to study quantum annealer behaviour, investigating phase transitions in Ising spin glass and providing insights into quantum computing development.

Mistral AI and NVIDIA launch Mistral NeMo 12B, a 12-billion-parameter language model for enterprise use, excelling in diverse tasks and easy customisation.

ABCI 3.0, featuring NVIDIA H200 GPUs, aims to boost Japan's AI research and technological independence. The $1B project underscores the push for AI sovereignty.