Google DeepMind at NeurIPS 2024
Advancing adaptive AI agents, empowering 3D scene creation, and innovating LLM training for a smarter, safer future
Advancing AI trust with new responsible AI tools, capabilities, and resources
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 …
Read more “Advancing AI trust with new responsible AI tools, capabilities, and resources”
Moloco: 10x faster model training times with TPUs on Google Kubernetes Engine
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 …
Read more “Moloco: 10x faster model training times with TPUs on Google Kubernetes Engine”
GenCast predicts weather and the risks of extreme conditions with state-of-the-art accuracy
New AI model advances the prediction of weather uncertainties and risks, delivering faster, more accurate forecasts up to 15 days ahead
Classifier-Free Guidance Is a Predictor-Corrector
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 …
Read more “Classifier-Free Guidance Is a Predictor-Corrector”
Amazon Bedrock Marketplace now includes NVIDIA models: Introducing NVIDIA Nemotron-4 NIM microservices
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 …
Build agentic RAG on Google Cloud databases with LlamaIndex
AI agents are revolutionizing the landscape of gen AI application development. Retrieval augmented generation (RAG) has significantly enhanced the capabilities of large language models (LLMs), enabling them to access and leverage external data sources such as databases. This empowers LLMs to generate more informed and contextually relevant responses. Agentic RAG represents a significant leap forward, …
Read more “Build agentic RAG on Google Cloud databases with LlamaIndex”
GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics
Single-cell genomics has significantly advanced our understanding of cellular behavior, catalyzing innovations in treatments and precision medicine. However, single-cell sequencing technologies are inherently destructive and can only measure a limited array of data modalities simultaneously. This limitation underscores the need for new methods capable of realigning cells. Optimal transport (OT) has emerged as a potent …
Query structured data from Amazon Q Business using Amazon QuickSight integration
Amazon Q Business is a generative AI-powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. Although generative AI is fueling transformative innovations, enterprises may still experience sharply divided data silos when it comes to enterprise knowledge, in particular between unstructured content …
Read more “Query structured data from Amazon Q Business using Amazon QuickSight integration”
Faster food: How Gemini helps restaurants thrive through multimodal visual analysis
Businesses across all industries are turning to AI for a clear view of their operations in real-time. Whether it’s a busy factory floor, a crowded retail space, or a bustling restaurant kitchen, the ability to monitor your work environment helps businesses be more proactive and ultimately, more efficient. Gemini 1.5 Pro’s multimodal and long context …
Read more “Faster food: How Gemini helps restaurants thrive through multimodal visual analysis”