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GenASL: Generative AI-powered American Sign Language avatars

AWS Machine Learning Blog

The rise of foundation models (FMs), and the fascinating world of generative AI that we live in, is incredibly exciting and opens doors to imagine and build what wasn’t previously possible. We can call the Amazon Bedrock API directly from the Step Functions workflow to save on Lambda compute cost.

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Designing generative AI workloads for resilience

AWS Machine Learning Blog

She has a diverse background, having worked in many technical disciplines, including software development, agile leadership, and DevOps, and is an advocate for women in tech. He holds an MSEE from the University of Michigan, where he worked on computer vision for autonomous vehicles.

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning Blog

By following these guidelines, organizations can follow responsible AI best practices for creating high-quality ground truth datasets for deterministic evaluation of question-answering assistants. Philippe Duplessis-Guindon is a cloud consultant at AWS, where he has worked on a wide range of generative AI projects.

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Automate user on-boarding for financial services with a digital assistant powered by Amazon Bedrock

AWS Machine Learning Blog

The face match is detected using Amazon Rekognition , which offers pre-trained and customizable computer vision (CV) capabilities to extract information and insights from your images and videos. These can enable a robust and secure deployment of an AI-powered onboarding solution. Using Anthropic’s Claude 3.5

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Foundational data protection for enterprise LLM acceleration with Protopia AI

AWS Machine Learning Blog

Enterprises need a responsible and safer way to send sensitive information to the models without needing to take on the often prohibitively high overheads of on-premises DevOps. These concerns of privacy and data protection can slow down or limit the usage of LLMs in organizations.

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Machine Learning Operations (MLOPs) with Azure Machine Learning

ODSC - Open Data Science

The repository also features architecture specifically designed for Computer Vision (CV) and Natural Language Processing (NLP) use cases. Responsible AI: Though these form part of the regular Azure ML workspace, we now include these components as a step that can be reviewed by a human. These include: 1.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

Auto-annotation tools such as Meta’s Segment Anything Model and other AI-assisted labeling techniques. MLOps workflows for computer vision and ML teams Use-case-centric annotations. MLOps tools and platforms FAQ What devops tools are used in machine learning in 20233? Robust security functionality.