Tag: faang

In 2023, AWS announced an expanded collaboration with Hugging Face to accelerate our customers’ generative artificial intelligence (AI) journey. Hugging Face, founded in 2016, is the premier AI platform with over 500,000 open source models and more than 100,000 datasets. Over the past year, we have partnered to make it effortless to train, fine-tune, and …

Read more “Generative AI roadshow in North America with AWS and Hugging Face”

Introduction The exploration focuses on examining the workings of Dialogflow CX, a tool that assists in human-like conversations, and the advanced Gemini Pro model, a highly intelligent AI. It focuses on demonstrating their combined impact in revolutionizing the development of conversational agents. It’s all about how these two join forces to transform how we create …

Read more “Build an AI Chatbot using a Generative AI Model with Dialogflow Knowledge Base.”

How Data-driven Acquisition Identified Over $90M in Savings for VA in 6 Months The U.S. Department of Veterans Affairs (VA) is one of the largest integrated health care systems in the United States, providing care at 1,298 health care facilities to over 9 million Veterans. With a mission this big, it is absolutely essential that VA …

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This is a guest post co-written with Meta’s PyTorch team and is a continuation of Part 1 of this series, where we demonstrate the performance and ease of running PyTorch 2.0 on AWS. Machine learning (ML) research has proven that large language models (LLMs) trained with significantly large datasets result in better model quality. In …

Read more “Scale LLMs with PyTorch 2.0 FSDP on Amazon EKS – Part 2”

Posted by Lizao (Larry) Li, Software Engineer, and Rob Carver, Research Scientist, Google Research Accurate weather forecasts can have a direct impact on people’s lives, from helping make routine decisions, like what to pack for a day’s activities, to informing urgent actions, for example, protecting people in the face of hazardous weather conditions. The importance …

Read more “Generative AI to quantify uncertainty in weather forecasting”