AI achieves silver-medal standard solving International Mathematical Olympiad problems
Breakthrough models AlphaProof and AlphaGeometry 2 solve advanced reasoning problems in mathematics
Amazon SageMaker inference launches faster auto scaling for generative AI models
Today, we are excited to announce a new capability in Amazon SageMaker inference that can help you reduce the time it takes for your generative artificial intelligence (AI) models to scale automatically. You can now use sub-minute metrics and significantly reduce overall scaling latency for generative AI models. With this enhancement, you can improve the …
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Leverage enterprise data with Denodo and Vertex AI for generative AI applications
Leveraging enterprise data for generative AI and large language models (LLMs) presents significant challenges related to data silos, quality inconsistencies, privacy and security concerns, compliance with data regulations, capturing domain-specific knowledge, and mitigating inherent biases. Organizations must navigate the complexities of consolidating fragmented data sources, ensuring data integrity, and addressing ethical considerations. Techniques like retrieval …
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Federated Learning With Differential Privacy for End-to-End Speech Recognition
*Equal Contributors While federated learning (FL) has recently emerged as a promising approach to train machine learning models, it is limited to only preliminary explorations in the domain of automatic speech recognition (ASR). Moreover, FL does not inherently guarantee user privacy and requires the use of differential privacy (DP) for robust privacy guarantees. However, we …
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Mistral Large 2 is now available in Amazon Bedrock
Mistral AI’s Mistral Large 2 (24.07) foundation model (FM) is now generally available in Amazon Bedrock. Mistral Large 2 is the newest version of Mistral Large, and according to Mistral AI offers significant improvements across multilingual capabilities, math, reasoning, coding, and much more. In this post, we discuss the benefits and capabilities of this new …
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Introducing Partner Companion: An AI-powered advisor for enhanced customer engagement
Following the exciting preview at Google Cloud Next 2024, we’re thrilled to announce the expanded availability of Partner Companion to Google Cloud Services Partners! At Google Cloud, we believe in the power of our partners. Partner Companion leverages generative AI to give them the information they need to thrive. It’s not just a showcase of …
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Detect and protect sensitive data with Amazon Lex and Amazon CloudWatch Logs
In today’s digital landscape, the protection of personally identifiable information (PII) is not just a regulatory requirement, but a cornerstone of consumer trust and business integrity. Organizations use advanced natural language detection services like Amazon Lex for building conversational interfaces and Amazon CloudWatch for monitoring and analyzing operational data. One risk many organizations face is …
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At UC Berkeley, Filestore supercharges one of largest JupyterHub deployments in U.S. higher ed
Among researchers, students, and developers to work together on complex projects, JupyterHub has become an essential tool for collaborative data science, bringing the power of Jupyter Notebooks to groups of users. Its ability to manage multiple user environments and provide access to shared resources has revolutionized the way that data science instruction is done at …
Big Update: A Whole New Chatbots Life
Big news from Chatbots Life! We’re thrilled to announce a major upgrade and expansion of our platform, making it the ultimate destination for anyone looking to dive deep into AI and transform their career. We’re rolling out 150+ tutorials over the next 90 days, designed to enrich your learning and ensure you stay at the forefront of …
Samplable Anonymous Aggregation for Private Federated Data Analytics
We revisit the problem of designing scalable protocols for private statistics and private federated learning when each device holds its private data. Locally differentially private algorithms require little trust but are (provably) limited in their utility. Centrally differentially private algorithms can allow significantly better utility but require a trusted curator. This gap has led to …
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