Come Partner with Us

Dialogue-guided visual language processing with Amazon SageMaker JumpStart

Favorite Visual language processing (VLP) is at the forefront of generative AI, driving advancements in multimodal learning that encompasses language intelligence, vision understanding, and processing. Combined with large language models (LLM) and Contrastive Language-Image Pre-Training (CLIP) trained with a large quantity of multimodality data, visual language models (VLMs) are particularly

Read More
Shared by AWS Machine Learning November 2, 2023

Schneider Electric leverages Retrieval Augmented LLMs on SageMaker to ensure real-time updates in their ERP systems

Favorite This post was co-written with Anthony Medeiros, Manager of Solutions Engineering and Architecture for North America Artificial Intelligence, and Blake Santschi, Business Intelligence Manager, from Schneider Electric. Additional Schneider Electric experts include Jesse Miller, Somik Chowdhury, Shaswat Babhulgaonkar, David Watkins, Mark Carlson and Barbara Sleczkowski.  Enterprise Resource Planning (ERP)

Read More
Shared by AWS Machine Learning November 1, 2023

Lesson Learning in NATO (video)

Favorite  Here’s a great video from NATO about their lesson learned capability Source here View Original Source (nickmilton.com) Here.

Elevate your marketing solutions with Amazon Personalize and generative AI

Favorite Generative artificial intelligence is transforming how enterprises do business. Organizations are using AI to improve data-driven decisions, enhance omnichannel experiences, and drive next-generation product development. Enterprises are using generative AI specifically to power their marketing efforts through emails, push notifications, and other outbound communication channels. Gartner predicts that “by

Read More
Shared by AWS Machine Learning October 28, 2023

Empower your business users to extract insights from company documents using Amazon SageMaker Canvas Generative AI

Favorite Enterprises seek to harness the potential of Machine Learning (ML) to solve complex problems and improve outcomes. Until recently, building and deploying ML models required deep levels of technical and coding skills, including tuning ML models and maintaining operational pipelines. Since its introduction in 2021, Amazon SageMaker Canvas has

Read More
Shared by AWS Machine Learning October 27, 2023