Let’s Architect! Discovering Generative AI on AWS

TutoSartup excerpt from this article:
Generative artificial intelligence (generative AI) is a type of AI used to generate content, including conversations, images, videos, and music... With the advent of generative AI, it’s fundamental to understand what it is, how it works under the hood, and which options are available for putting it into production... With this edition of Let’s Architect!, we’ll cover these topics and share ...

Authorize API Gateway APIs using Amazon Verified Permissions and Amazon Cognito

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Along with controlling access to application resources, you can use Verified Permissions to restrict API access to authorized users by using Cedar policies... Lastly, you may need to spend additional time developing and testing the AWS Lambda authorizer function logic that builds the authorization request for Verified Permissions and enforces the authorization decision... Verified Permissions gen...

Genomics workflows, Part 6: cost prediction

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Genomics workflows run on large pools of compute resources and take petabyte-scale datasets as inputs... Given this large scale, scientists want to estimate the projected cost of their genomics workflow runs before deciding to launch them... While we focus on genomics, the design pattern is broadly applicable to any compute-intensive workflow use case... In this blog post’s scenario, scientists...

Enhance conversational AI with advanced routing techniques with Amazon Bedrock

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With AWS generative AI services like Amazon Bedrock, developers can create systems that expertly manage and respond to user requests... Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon using a single API, along with a broad set of capabilities you ne...

Improve LLM performance with human and AI feedback on Amazon SageMaker for Amazon Engineering

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The Amazon D&C team implemented the solution in a pilot for Amazon engineers and collected user feedback... In this post, we share how we analyzed the feedback data and identified limitations of accuracy and hallucinations RAG provided, and used the human evaluation score to train the model through reinforcement learning... To increase training samples for better learning, we also used anoth...

Improve accuracy of Amazon Rekognition Face Search with user vectors

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The system must be able to detect human faces in images, extract the faces into vector representations, store face vectors in a database, and compare new faces against existing entries... Amazon Rekognition enables you to achieve very high face search accuracy with a single face image... In some cases, you can use multiple images of the same person’s face to create user vectors and improve acc...

Cloud Cultures, Part 7: Creating balance in a digital world through precision and mindfulness in Japan

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‘Mottainai,’ an idea deeply rooted in Japanese culture, is a call to respect resources and avoid waste... I saw this ideology reflected everywhere during my trip to Japan for this episode of Cloud Cultures—in the transportation system, in my interactions with shop owners, even in the movements of a master sushi chef (or itamae) that I watched over the bar at an Omakase restaurant...T...