Today, we’re excited to announce the availability of Meta Llama 3 inference on AWS Trainium and AWS Inferentia based instances in Amazon SageMaker ...
Xin Huang
Today, we are excited to announce that the DBRX model, an open, general-purpose large language model (LLM) developed by Databricks, is available ...
Shikhar Kwatra
There has been tremendous progress in the field of distributed deep learning for large language models (LLMs), especially after the release of ...
In January 2024, Amazon SageMaker launched a new version (0.26.0) of Large Model Inference (LMI) Deep Learning Containers (DLCs). This version ...
Joao Moura
Unlocking accurate and insightful answers from vast amounts of text is an exciting capability enabled by large language models (LLMs). When ...
Romina Sharifpour
Today, customers of all industries—whether it’s financial services, healthcare and life sciences, travel and hospitality, media and entertainment, ...
Niithiyn Vijeaswaran
This blog post is co-written with Hwalsuk Lee at Upstage. Today, we’re excited to announce that the Solar foundation model developed by ...
Channy Yun
Amazon SageMaker Canvas allows you to use machine learning (ML) to generate predictions without having to write any code. It does so by covering ...
Dhiraj Thakur
In 2023, AWS announced an expanded collaboration with Hugging Face to accelerate our customers’ generative artificial intelligence (AI) journey. ...
The rise of contextual and semantic search has made ecommerce and retail businesses search straightforward for its consumers. Search engines and ...
Amazon SageMaker Studio is a web-based, integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, ...
Nielsen Sports sees 75% cost reduction in video analysis with Amazon SageMaker multi-model endpoints
This is a guest post co-written with Tamir Rubinsky and Aviad Aranias from Nielsen Sports. Nielsen Sports shapes the world’s media and ...
Eitan Sela