zetabyte

​[[{“value”:” Researchers from Cornell and Google introduce a unified Regression Language Model (RLM) that predicts numeric outcomes directly from code strings—covering GPU kernel latency, program memory usage, and even neural network accuracy and latency—without hand-engineered features. A 300M-parameter encoder–decoder initialized from T5-Gemma achieves strong rank… Read More »Can a Small Language Model Predict Kernel Latency, Memory, and Model Accuracy from Code? A New Regression Language Model (RLM) Says Yes Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Organizations are increasingly integrating generative AI capabilities into their applications to enhance customer experiences, streamline operations, and drive innovation. As generative AI workloads continue to grow in scale and importance, organizations face new challenges in maintaining consistent performance, reliability, and availability of their AI-powered… Read More »Unlock global AI inference scalability using new global cross-Region inference on Amazon Bedrock with Anthropic’s Claude Sonnet 4.5 Melanie Li Artificial Intelligence

​[[{“value”:” Agentic AI applications represent a significant development in enterprise automation, where intelligent agents autonomously execute complex workflows, access sensitive datasets, and make real-time decisions across your organization’s infrastructure. Amazon Bedrock AgentCore accelerates enterprise AI transformation by providing fully managed services that remove infrastructure complexity,… Read More »Secure ingress connectivity to Amazon Bedrock AgentCore Gateway using interface VPC endpoints Dhawalkumar Patel Artificial Intelligence

​Imbalanced datasets are a common challenge in machine learning. Imbalanced datasets are a common challenge in machine learning.  Read More  

​[[{“value”:” Thinking Machines has released Tinker, a Python API that lets researchers and engineers write training loops locally while the platform executes them on managed distributed GPU clusters. The pitch is narrow and technical: keep full control of data, objectives, and optimization steps; hand off… Read More »Thinking Machines Launches Tinker: A Low-Level Training API that Abstracts Distributed LLM Fine-Tuning without Hiding the Knobs Michal Sutter Artificial Intelligence Category – MarkTechPost

​[[{“value”:” IBM just released Granite 4.0, an open-source LLM family that swaps monolithic Transformers for a hybrid Mamba-2/Transformer stack to cut serving memory while keeping quality. Sizes span a 3B dense “Micro,” a 3B hybrid “H-Micro,” a 7B hybrid MoE “H-Tiny” (~1B active), and a… Read More »IBM Released new Granite 4.0 Models with a Novel Hybrid Mamba-2/Transformer Architecture: Drastically Reducing Memory Use without Sacrificing Performance Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This post was written with Meghana Chintalapudi and Surabhi Sankhla of Kore.ai. As organizations struggle with exponentially growing volumes of data distributed across multiple repositories and applications, employees lose significant time—approximately 30% according to the International Data Corporation (IDC)—searching for information that could be… Read More »Enhance agentic workflows with enterprise search using Kore.ai and Amazon Q Business Siddhant Gupta Artificial Intelligence

​[[{“value”:” Today, we’re excited to announce the Amazon Bedrock AgentCore Model Context Protocol (MCP) Server. With built-in support for runtime, gateway integration, identity management, and agent memory, the AgentCore MCP Server is purpose-built to speed up creation of components compatible with Bedrock AgentCore. You can… Read More »Accelerate development with the Amazon Bedrock AgentCore MCP server Shreyas Subramanian Artificial Intelligence