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AWS Reaffirms its Commitment to Responsible Generative AI

Favorite As a pioneer in artificial intelligence and machine learning, AWS is committed to developing and deploying generative AI responsibly As one of the most transformational innovations of our time, generative AI continues to capture the world’s imagination, and we remain as committed as ever to harnessing it responsibly. With

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Shared by AWS Machine Learning July 26, 2023

New technical deep dive course: Generative AI Foundations on AWS

Favorite Generative AI Foundations on AWS is a new technical deep dive course that gives you the conceptual fundamentals, practical advice, and hands-on guidance to pre-train, fine-tune, and deploy state-of-the-art foundation models on AWS and beyond. Developed by AWS generative AI worldwide foundations lead Emily Webber, this free hands-on course

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Shared by AWS Machine Learning July 26, 2023

A new partnership to promote responsible AI

Favorite Today, Google, Microsoft, OpenAI and Anthropic published a joint announcement establishing the Frontier Model Forum. View Original Source (blog.google/technology/ai/) Here.

Optimize AWS Inferentia utilization with FastAPI and PyTorch models on Amazon EC2 Inf1 & Inf2 instances

Favorite When deploying Deep Learning models at scale, it is crucial to effectively utilize the underlying hardware to maximize performance and cost benefits. For production workloads requiring high throughput and low latency, the selection of the Amazon Elastic Compute Cloud (EC2) instance, model serving stack, and deployment architecture is very

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Shared by AWS Machine Learning July 25, 2023

Google at ICML 2023

Favorite Posted by Cat Armato, Program Manager, Google Groups across Google actively pursue research in the field of machine learning (ML), ranging from theory and application. We build ML systems to solve deep scientific and engineering challenges in areas of language, music, visual processing, algorithm development, and more. We aim

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Shared by Google AI Technology July 23, 2023