Favorite This post is co-written with Ilan Geller and Shuyu Yang from Accenture. Enterprises today face major challenges when it comes to using their information and knowledge bases for both internal and external business operations. With constantly evolving operations, processes, policies, and compliance requirements, it can be extremely difficult for

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Shared by AWS Machine Learning September 28, 2023

Favorite MDaudit provides a cloud-based billing compliance and revenue integrity software as a service (SaaS) platform to more than 70,000 healthcare providers and 1,500 healthcare facilities, ensuring healthcare customers maintain regulatory compliance and retain revenue. Working with the top 60+ US healthcare networks, MDaudit needs to be able to scale

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Shared by AWS Machine Learning September 27, 2023

Favorite The Amazon EU Design and Construction (Amazon D&C) team is the engineering team designing and constructing Amazon Warehouses across Europe and the MENA region. The design and deployment processes of projects involve many types of Requests for Information (RFIs) about engineering requirements regarding Amazon and project-specific guidelines. These requests

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Shared by AWS Machine Learning September 27, 2023

Favorite As machine learning (ML) goes mainstream and gains wider adoption, ML-powered inference applications are becoming increasingly common to solve a range of complex business problems. The solution to these complex business problems often requires using multiple ML models and steps. This post shows you how to build and host

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Shared by AWS Machine Learning September 26, 2023

Favorite We’re at an exciting inflection point in the widespread adoption of machine learning (ML), and we believe most customer experiences and applications will be reinvented with generative AI. Generative AI can create new content and ideas, including conversations, stories, images, videos, and music. Like most AI, generative AI is

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Shared by AWS Machine Learning September 25, 2023

Favorite This post was co-authored with Daniele Chiappalupi, participant of the AWS student Hackathon team at ETH Zürich. Everyone can easily get started with machine learning (ML) using Amazon SageMaker JumpStart. In this post, we show you how a university Hackathon team used SageMaker JumpStart to quickly build an application

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Shared by AWS Machine Learning September 25, 2023

Favorite Reinforcement Learning from Human Feedback (RLHF) is recognized as the industry standard technique for ensuring large language models (LLMs) produce content that is truthful, harmless, and helpful. The technique operates by training a “reward model” based on human feedback and uses this model as a reward function to optimize

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Shared by AWS Machine Learning September 22, 2023

Favorite The adoption of generative AI is rapidly expanding, reaching an ever-growing number of industries and users worldwide. With the increasing complexity and scale of generative AI models, it is crucial to work towards minimizing their environmental impact. This involves a continuous effort focused on energy reduction and efficiency by

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Shared by AWS Machine Learning September 21, 2023

Favorite In this post, we discuss how United Airlines, in collaboration with the Amazon Machine Learning Solutions Lab, build an active learning framework on AWS to automate the processing of passenger documents. “In order to deliver the best flying experience for our passengers and make our internal business process as

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Shared by AWS Machine Learning September 21, 2023

Favorite As customers accelerate their migrations to the cloud and transform their business, some find themselves in situations where they have to manage IT operations in a multicloud environment. For example, you might have acquired a company that was already running on a different cloud provider, or you may have

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Shared by AWS Machine Learning September 20, 2023