AWS Machine Learning Blog Official Machine Learning Blog of Amazon Web Services
- Amazon SageMaker inference launches faster auto scaling for generative AI modelsby James Park on July 25, 2024 at 21:13
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
- Find answers accurately and quickly using Amazon Q Business with the SharePoint Online connectorby Vijai Gandikota on July 25, 2024 at 17:53
Amazon Q Business is a fully managed, generative artificial intelligence (AI)-powered assistant that helps enterprises unlock the value of their data and knowledge. With Amazon Q, you can quickly find answers to questions, generate summaries and content, and complete tasks by using the information and expertise stored across your company’s various data sources and enterprise
- Evaluate conversational AI agents with Amazon Bedrockby Sharon Li on July 25, 2024 at 17:47
As conversational artificial intelligence (AI) agents gain traction across industries, providing reliability and consistency is crucial for delivering seamless and trustworthy user experiences. However, the dynamic and conversational nature of these interactions makes traditional testing and evaluation methods challenging. Conversational AI agents also encompass multiple layers, from Retrieval Augmented Generation (RAG) to function-calling mechanisms that
- Node problem detection and recovery for AWS Neuron nodes within Amazon EKS clustersby Darren Lin on July 25, 2024 at 17:39
In the post, we introduce the AWS Neuron node problem detector and recovery DaemonSet for AWS Trainium and AWS Inferentia on Amazon Elastic Kubernetes Service (Amazon EKS). This component can quickly detect rare occurrences of issues when Neuron devices fail by tailing monitoring logs. It marks the worker nodes in a defective Neuron device as unhealthy, and promptly replaces them with new worker nodes. By accelerating the speed of issue detection and remediation, it increases the reliability of your ML training and reduces the wasted time and cost due to hardware failure.
- Mistral Large 2 is now available in Amazon Bedrockby Niithiyn Vijeaswaran on July 24, 2024 at 20:14
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
MIT News – Artificial intelligence MIT news feed about: Artificial intelligence
- Study: When allocating scarce resources with AI, randomization can improve fairnessby Adam Zewe | MIT News on July 24, 2024 at 04:00
Introducing structured randomization into decisions based on machine-learning model predictions can address inherent uncertainties while maintaining efficiency.
- MIT researchers advance automated interpretability in AI modelsby Rachel Gordon | MIT CSAIL on July 23, 2024 at 20:00
MAIA is a multimodal agent that can iteratively design experiments to better understand various components of AI systems.
- Proton-conducting materials could enable new green energy technologiesby David L. Chandler | MIT News on July 23, 2024 at 14:30
Analysis and materials identified by MIT engineers could lead to more energy-efficient fuel cells, electrolyzers, batteries, or computing devices.
- Large language models don’t behave like people, even though we may expect them toby Adam Zewe | MIT News on July 23, 2024 at 04:00
A new study shows someone’s beliefs about an LLM play a significant role in the model’s performance and are important for how it is deployed.
- AI model identifies certain breast tumor stages likely to progress to invasive cancerby Adam Zewe | MIT News on July 22, 2024 at 18:00
The model could help clinicians assess breast cancer stage and ultimately help in reducing overtreatment.
Google DeepMind Blog Read the latest articles and stories from DeepMind and find out more about our latest breakthroughs in cutting-edge AI research.
- AI achieves silver-medal standard solving International Mathematical Olympiad problemson July 25, 2024 at 15:29
Breakthrough models AlphaProof and AlphaGeometry 2 solve advanced reasoning problems in mathematics
- Google DeepMind at ICML 2024on July 19, 2024 at 10:00
Exploring AGI, the challenges of scaling and the future of multimodal generative AI
- Generating audio for videoon June 17, 2024 at 16:00
Video-to-audio research uses video pixels and text prompts to generate rich soundtracks
- Looking ahead to the AI Seoul Summiton May 20, 2024 at 07:00
How summits in Seoul, France and beyond can galvanize international cooperation on frontier AI safety
- Introducing the Frontier Safety Frameworkon May 17, 2024 at 14:00
Our approach to analyzing and mitigating future risks posed by advanced AI models