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Gartner predicts that “by 2027, 40% of generative AI solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023.” The McKinsey 2023 State of AI […]

In many generative AI applications, a large language model (LLM) like Amazon Nova is used to respond to a user query based on the model’s own knowledge or context that

Generative AI is rapidly transforming the modern workplace, offering unprecedented capabilities that augment how we interact with text and data. At Amazon Web Services (AWS), we recognize that many of

As we gather for NVIDIA GTC, organizations of all sizes are at a pivotal moment in their AI journey. The question is no longer whether to adopt generative AI, but

Today, we are excited to announce that Amazon Q Business—a fully managed generative-AI powered assistant that you can configure to answer questions, provide summaries and generate content based on your

This post is cowritten with Abdullahi Olaoye, Akshit Arora and Eliuth Triana Isaza at NVIDIA. As enterprises continue to push the boundaries of generative AI, scalable and efficient model training

Today, we are excited to announce that the NeMo Retriever Llama3.2 Text Embedding and Reranking NVIDIA NIM microservices are available in Amazon SageMaker JumpStart. With this launch, you can now

An overview of the collaboration between Google and NVIDIA and a preview of the announcements at GTC this week.

I’m excited to share a major leap forward in how we develop and deploy AI. In collaboration with NVIDIA, we’ve integrated NVIDIA NIM microservices and NVIDIA AgentIQ toolkit into Azure