AI-360

Meta's Llama 3.1: 405B parameter open-source AI model. 128K token context, 8 languages. New safety tools: Llama Guard 3, Prompt Guard, CyberSecEval 3.

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.

NVIDIA's AI and GPU advancements yield significant energy efficiency gains across industries, with users reporting substantial savings in finance and manufacturing.

Stanford researchers released a white paper on AI's impact on Black Americans, highlighting risks like loan rejections and opportunities in education and creative fields.

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.