​ As democratization of foundation models (FMs) becomes more prevalent and demand for AI-augmented services increases, software as a service (SaaS) providers are looking to use machine learning (ML) platforms that support multiple tenants—for data scientists internal to their organization and external customers. More and… Read More »Scale foundation model inference to hundreds of models with Amazon SageMaker – Part 1 Mehran Najafi AWS Machine Learning Blog

​ As organizations deploy models to production, they are constantly looking for ways to optimize the performance of their foundation models (FMs) running on the latest accelerators, such as AWS Inferentia and GPUs, so they can reduce their costs and decrease response latency to provide… Read More »Reduce model deployment costs by 50% on average using the latest features of Amazon SageMaker James Park AWS Machine Learning Blog

​ Amazon SageMaker makes it straightforward to deploy machine learning (ML) models for real-time inference and offers a broad selection of ML instances spanning CPUs and accelerators such as AWS Inferentia. As a fully managed service, you can scale your model deployments, minimize inference costs,… Read More »Minimize real-time inference latency by using Amazon SageMaker routing strategies James Park AWS Machine Learning Blog

​ Amazon SageMaker Canvas is a no-code workspace that enables analysts and citizen data scientists to generate accurate machine learning (ML) predictions for their business needs. Starting today, SageMaker Canvas supports advanced model build configurations such as selecting a training method (ensemble or hyperparameter optimization)… Read More »Build and evaluate machine learning models with advanced configurations using the SageMaker Canvas model leaderboard Janisha Anand AWS Machine Learning Blog

​ Building foundation models (FMs) requires building, maintaining, and optimizing large clusters to train models with tens to hundreds of billions of parameters on vast amounts of data. Creating a resilient environment that can handle failures and environmental changes without losing days or weeks of… Read More »Introducing Amazon SageMaker HyperPod to train foundation models at scale Brad Doran AWS Machine Learning Blog

​ Digital publishers are continuously looking for ways to streamline and automate their media workflows to generate and publish new content as rapidly as they can, but without foregoing quality. Adding images to capture the essence of text can improve the reading experience. Machine learning… Read More »Easily build semantic image search using Amazon Titan Mark Watkins AWS Machine Learning Blog

​ The risks associated with generative AI have been well-publicized. Toxicity, bias, escaped PII, and hallucinations negatively impact an organization’s reputation and damage customer trust. Research shows that not only do risks for bias and toxicity transfer from pre-trained foundation models (FM) to task-specific generative… Read More »Evaluate large language models for quality and responsibility Ram Vegiraju AWS Machine Learning Blog

​ The quest to uncover novel crystalline structures in materials has long been a cornerstone of scientific exploration, holding critical implications across diverse industries ranging from electronics to pharmaceuticals. Crystalline materials, defined by their ordered atomic arrangements, play an important role in technological advancements. Identifying… Read More »Researchers from Tokyo University of Science Developed a Deep Learning Model that can Detect a Previously Unknown Quasicrystalline Phase in Materials Science Niharika Singh Artificial Intelligence Category – MarkTechPost

​ In this age defined by technological innovations and dominated by technological advancements, the field of Artificial Intelligence (AI) has successfully emerged as the driving force behind transforming the way we live and reshaping industries. AI enables computers to think and learn in a manner… Read More »What is Multimodal Artificial Intelligence? Its Applications and Use Cases Tanya Malhotra Artificial Intelligence Category – MarkTechPost