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Build and deploy ML inference applications from scratch using Amazon SageMaker

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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 an ML application with custom containers … Read more

Innovation for Inclusion: Hack.The.Bias with Amazon SageMaker

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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 that helps users identify and remove … Read more

Improve throughput performance of Llama 2 models using Amazon SageMaker

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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 powered by ML models—very large models … Read more

Improving your LLMs with RLHF on Amazon SageMaker

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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 an agent’s policy through reinforcement learning … Read more

How United Airlines built a cost-efficient Optical Character Recognition active learning pipeline

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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 efficient as possible, we have developed … Read more

Optimize generative AI workloads for environmental sustainability

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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 achieving the maximum benefit from the … Read more

Train and deploy ML models in a multicloud environment using Amazon SageMaker

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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 a workload that generates value from … Read more

BuzzFeed is using AI to write SEO-bait travel guides

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Image: Hugo Herrera / The Verge BuzzFeed has taken its next step into AI-written content and started publishing AI-generated travel guides, as reported by Futurism. The publisher’s first AI-generated articles were ad-lib quizzes that were largely innocuous, but the travel guides appear to be a more brazen play to attract search traffic about different destinations. … Read more

The English dub trailer for Makoto Shinkai’s Suzume is for closers

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A scene from Suzume. | Crunchyroll Ahead of director Makoto Shinkai’s Suzume finally being released outside of Japan, Crunchyroll’s debuted a new English dub trailer that spotlights some of the animated feature’s most magical ideas. Like everyone from her town in Kyushu, 17-year-old high school student Suzume (Nichole Sakura) knows all about the abandoned ruins … Read more