trust

Advancing AI trust with new responsible AI tools, capabilities, and resources

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society. This belief is at the heart of our long-standing commitment to building …

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Moloco: 10x faster model training times with TPUs on Google Kubernetes Engine

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In today’s congested digital landscape, businesses of all sizes face the challenge of optimizing their marketing budgets. They must find ways to stand out amid the bombardment of messages vying for potential customers’ attention. Moreover, they grapple with rising customer acquisition costs and dwindling retention rates, impeding their profitability. Adding to this complexity is the …

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Machine-learning models help discover a material for film capacitors with record-breaking performance

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

The Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) and several collaborating institutions have successfully demonstrated a machine-learning technique to accelerate the discovery of materials for film capacitors—crucial components in electrification and renewable energy technologies. The technique was used to screen a library of nearly 50,000 chemical structures to identify a compound with record-breaking …

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Classifier-Free Guidance Is a Predictor-Corrector

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This paper was accepted at the Mathematics of Modern Machine Learning (M3L) Workshop at NeurIPS 2024. We investigate the unreasonable effectiveness of classifier-free guidance (CFG). CFG is the dominant method of conditional sampling for text-to-image diffusion models, yet unlike other aspects of diffusion, it remains on shaky theoretical footing. In this paper, we disprove common …

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Amazon Bedrock Marketplace now includes NVIDIA models: Introducing NVIDIA Nemotron-4 NIM microservices

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This post is co-written with Abhishek Sawarkar, Eliuth Triana, Jiahong Liu and Kshitiz Gupta from NVIDIA.  At AWS re:Invent 2024, we are excited to introduce Amazon Bedrock Marketplace. This a revolutionary new capability within Amazon Bedrock that serves as a centralized hub for discovering, testing, and implementing foundation models (FMs). It provides developers and organizations …

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