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A secure approach to generative AI with AWS

AWS Machine Learning

At AWS, our top priority is safeguarding the security and confidentiality of our customers’ workloads. With the AWS Nitro System , we delivered a first-of-its-kind innovation on behalf of our customers. The Nitro System is an unparalleled computing backbone for AWS, with security and performance at its core.

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AWS at NVIDIA GTC 2024: Accelerate innovation with generative AI on AWS

AWS Machine Learning

AWS was delighted to present to and connect with over 18,000 in-person and 267,000 virtual attendees at NVIDIA GTC, a global artificial intelligence (AI) conference that took place March 2024 in San Jose, California, returning to a hybrid, in-person experience for the first time since 2019.

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How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker

AWS Machine Learning

In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker.

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Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. Features are inputs to ML models used during training and inference. Features are used repeatedly by multiple teams, and feature quality is critical to ensure a highly accurate model.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

We also discuss common security concerns that can undermine trust in AI, as identified by the Open Worldwide Application Security Project (OWASP) Top 10 for LLM Applications , and show ways you can use AWS to increase your security posture and confidence while innovating with generative AI.

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Manage your Amazon Lex bot via AWS CloudFormation templates

AWS Machine Learning

Managing your Amazon Lex bots using AWS CloudFormation allows you to create templates defining the bot and all the AWS resources it depends on. AWS CloudFormation provides and configures those resources on your behalf, removing the risk of human error when deploying bots to new environments. Resources: # 1.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. Integrating multiple tool stacks to build a compact solution might involve building custom connectors or workflows. Wipro is an AWS Premier Tier Services Partner and Managed Service Provider (MSP).