[[{“value”:” In the rush to get the most from AI tools, prompt engineering—the practice of writing clear, structured inputs that guide an AI tool’s output—has taken center stage. But for software engineers, the skill isn’t new. We’ve been doing a version of it for decades,… Read More »Prompt Engineering Is Requirements Engineering Andrew Stellman AI & ML – Radar
[[{“value”:” A team of researchers from Allen Institute for Artificial Intelligence (Ai2), University of Washington and CMU introduce Fluid Benchmarking, an adaptive LLM evaluation method that replaces static accuracy with 2-parameter IRT ability estimation and Fisher-information–driven item selection. By asking only the most informative questions for… Read More »Ai2 Researchers are Changing the Benchmarking Game by Introducing Fluid Benchmarking that Enhances Evaluation along Several Dimensions Michal Sutter Artificial Intelligence Category – MarkTechPost
[[{“value”:” Your shopping agent auto-purchases a $499 Pro plan instead of the $49 Basic tier—who’s on the hook: the user, the agent’s developer, or the merchant? This trust gap is a primary blocker for agent-led checkout on today’s payment rails. Google’s Agent Payments Protocol (AP2)… Read More »Google AI Introduces Agent Payments Protocol (AP2): An Open Protocol for Interoperable AI Agent Checkout Across Merchants and Wallets Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” In this tutorial, we take a deep dive into the capabilities of Zarr, a library designed for efficient storage & manipulation of large, multidimensional arrays. We begin by exploring the basics, creating arrays, setting chunking strategies, and modifying values directly on disk. From there,… Read More »A Coding Guide to Implement Zarr for Large-Scale Data: Chunking, Compression, Indexing, and Visualization Techniques Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” This post is co-written with Samit Verma, Eusha Rizvi, Manmeet Singh, Troy Smith, and Corey Finley from Verisk. Verisk Rating Insights as a feature of ISO Electronic Rating Content (ERC) is a powerful tool designed to provide summaries of ISO Rating changes between two… Read More »Streamline access to ISO-rating content changes with Verisk rating insights and Amazon Bedrock Samit Verma, Eusha Rizvi, Manmeet Singh, Troy Smith, Corey Finley Artificial Intelligence
[[{“value”:” Organizations gain competitive advantage by deploying and integrating new generative AI models quickly through Generative AI Gateway architectures. This unified interface approach simplifies access to multiple foundation models (FMs), addressing a critical challenge: the proliferation of specialized AI models, each with unique capabilities, API… Read More »Unified multimodal access layer for Quora’s Poe using Amazon Bedrock Gilbert V Lepadatu Artificial Intelligence
[[{“value”:” Google Research has released TimesFM-2.5, a 200M-parameter, decoder-only time-series foundation model with a 16K context length and native probabilistic forecasting support. The new checkpoint is live on Hugging Face. On GIFT-Eval, TimesFM-2.5 now tops the leaderboard across accuracy metrics (MASE, CRPS) among zero-shot foundation… Read More »Google AI Ships TimesFM-2.5: Smaller, Longer-Context Foundation Model That Now Leads GIFT-Eval (Zero-Shot Forecasting) Michal Sutter Artificial Intelligence Category – MarkTechPost
Numerical computations in Python become much faster and more efficient with Numerical computations in Python become much faster and more efficient with Read More
[[{“value”:” The following was originally published in Asimov’s Addendum, September 11, 2025. Learn more about the AI Disclosures Project here. 1. The Rise and Rise of MCP Anthropic’s Model Context Protocol (MCP) was released in November 2024 as a way to make tools and platforms model-agnostic. MCP works by… Read More »MCP in Practice Ilan Strauss, Sruly Rosenblat, Isobel Moure and Tim O’Reilly AI & ML – Radar
[[{“value”:” A team of Stanford University researchers have released MedAgentBench, a new benchmark suite designed to evaluate large language model (LLM) agents in healthcare contexts. Unlike prior question-answering datasets, MedAgentBench provides a virtual electronic health record (EHR) environment where AI systems must interact, plan, and… Read More »Stanford Researchers Introduced MedAgentBench: A Real-World Benchmark for Healthcare AI Agents Michal Sutter Artificial Intelligence Category – MarkTechPost