Ball position tracking in the cloud with the PGA TOUR
The PGA TOUR continues to enhance the golf experience with real-time data that brings fans closer to the game. To deliver even richer experiences, they are pursuing the development of…
Amazon SageMaker
Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention
This post is co-written with Jayadeep Pabbisetty, Sr. Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. The large machine learning (ML) model development lifecycle…
Inference Llama 2 models with real-time response streaming using Amazon SageMaker
With the rapid adoption of generative AI applications, there is a need for these applications to respond in time to reduce the perceived latency with higher throughput. Foundation models (FMs)…
Modernizing data science lifecycle management with AWS and Wipro
This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. Many organizations have been using a combination of on-premises and open source data…
Amazon SageMaker model parallel library now accelerates PyTorch FSDP workloads by up to 20% | Amazon Web Services
Large language model (LLM) training has surged in popularity over the last year with the release of several popular models such as Llama 2, Falcon, and Mistral. Customers are now…
Deploy foundation models with Amazon SageMaker, iterate and monitor with TruEra | Amazon Web Services
This blog is co-written with Josh Reini, Shayak Sen and Anupam Datta from TruEra Amazon SageMaker JumpStart provides a variety of pretrained foundation models such as Llama-2 and Mistal 7B…
Overcoming common contact center challenges with generative AI and Amazon SageMaker Canvas | Amazon Web Services
Great customer experience provides a competitive edge and helps create brand differentiation. As per the Forrester report, The State Of Customer Obsession, 2022, being customer-first can make a sizable impact…
Llama Guard is now available in Amazon SageMaker JumpStart | Amazon Web Services
Today we are excited to announce that the Llama Guard model is now available for customers using Amazon SageMaker JumpStart. Llama Guard provides input and output safeguards in large language…
Identify cybersecurity anomalies in your Amazon Security Lake data using Amazon SageMaker | Amazon Web Services
In this post, you learn how to prepare data sourced from Amazon Security Lake, and then train and deploy an ML model using an IP Insights algorithm in SageMaker. This…
Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas | Amazon Web Services
This is a guest post co-written with Babu Srinivasan from MongoDB. As industries evolve in today’s fast-paced business landscape, the inability to have real-time forecasts poses significant challenges for industries…