​[[{“value”:” This post serves as a step-by-step guide on how to set up lifecycle configurations for your Amazon SageMaker Studio domains. With lifecycle configurations, system administrators can apply automated controls to their SageMaker Studio domains and their users. We cover core concepts of SageMaker Studio… Read More »Apply Amazon SageMaker Studio lifecycle configurations using AWS CDK Gabriel Rodriguez Garcia AWS Machine Learning Blog

​[[{“value”:” In the field of generative AI, latency and cost pose significant challenges. The commonly used large language models (LLMs) often process text sequentially, predicting one token at a time in an autoregressive manner. This approach can introduce delays, resulting in less-than-ideal user experiences. Additionally,… Read More »Build a read-through semantic cache with Amazon OpenSearch Serverless and Amazon Bedrock Kamran Razi AWS Machine Learning Blog

​[[{“value”:” Anthropic has open-sourced the Model Context Protocol (MCP), a major step toward improving how AI systems connect with real-world data. By providing a universal standard, MCP simplifies the integration of AI with data sources, enabling smarter, more context-aware responses and making AI systems more… Read More »Anthropic Open Sourced Model Context Protocol (MCP): Transforming AI Integration with Universal Data Connectivity for Smarter, Context-Aware, and Scalable Applications Across Industries Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This post is co-written with Ken Kao and Hasan Ali Demirci from Rad AI. Rad AI has reshaped radiology reporting, developing solutions that streamline the most tedious and repetitive tasks, and saving radiologists’ time. Since 2018, using state-of-the-art proprietary and open source large language… Read More »Rad AI reduces real-time inference latency by 50% using Amazon SageMaker Ken Kao AWS Machine Learning Blog

​[[{“value”:” Large language models (LLMs) have come a long way from being able to read only text to now being able to read and understand graphs, diagrams, tables, and images. In this post, we discuss how to use LLMs from Amazon Bedrock to not only… Read More »Read graphs, diagrams, tables, and scanned pages using multimodal prompts in Amazon Bedrock Mithil Shah AWS Machine Learning Blog

​[[{“value”:” This post is co-written with Isaac Smothers and James Healy-Mirkovich from Crexi.  With the current demand for AI and machine learning (AI/ML) solutions, the processes to train and deploy models and scale inference are crucial to business success. Even though AI/ML and especially generative… Read More »How Crexi achieved ML models deployment on AWS at scale and boosted efficiency Isaac Smothers AWS Machine Learning Blog

​[[{“value”:” Recommender systems are essential in modern digital platforms, enabling personalized user experiences by predicting preferences based on interaction data. These systems help users navigate the vast online content by suggesting relevant items critical to addressing information overload. By analyzing user-item interactions, they generate recommendations… Read More »This AI Paper Introduces HARec: A Hyperbolic Framework for Balancing Exploration and Exploitation in Recommender Systems Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Real-world networks, such as those in biomedical and multi-omics datasets, often present complex structures characterized by multiple types of nodes and edges, making them heterogeneous or multiplex. Most graph-based learning techniques fail to handle such intricate networks because of their intrinsic complexity, even though… Read More »GRAF: A Machine Learning Framework that Convert Multiplex Heterogeneous Networks to Homogeneous Networks to Make Them more Suitable for Graph Representation Learning Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” There is a crisis in technical education. The golden road to a career has always been through a college education. However, this “golden road” has developed deep cracks and is badly in need of maintenance. Postsecondary education is rapidly becoming unaffordable, even at public… Read More »Educating a New Generation of Workers Noah Gift AI & ML – Radar

​[[{“value”:” Function calling has emerged as a transformative capability in AI systems, enabling language models to interact with external tools through structured JSON object generation. However, current methodologies face critical challenges in comprehensively simulating real-world interaction scenarios. Existing approaches predominantly focus on generating tool-specific call… Read More »FunctionChat-Bench: Comprehensive Evaluation of Language Models’ Function Calling Capabilities Across Interactive Scenarios Sajjad Ansari Artificial Intelligence Category – MarkTechPost