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Securing Agents in Production (Agentic Runtime, #1)

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Editor’s Note: This is the first in a series exploring Palantir AIP’s Agentic Runtime — the integrated toolchain for building, deploying, and managing agents in mission-critical settings. Since Day 1, Palantir’s customers have demanded rigorous security and governance capabilities that stretch far beyond conventional role-driven policies on buckets of data. This includes a security architecture that can …

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How PDI built an enterprise-grade RAG system for AI applications with AWS

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PDI Technologies is a global leader in the convenience retail and petroleum wholesale industries. They help businesses around the globe increase efficiency and profitability by securely connecting their data and operations. With 40 years of experience, PDI Technologies assists customers in all aspects of their business, from understanding consumer behavior to simplifying technology ecosystems across …

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Scaling WideEP Mixture-of-Experts inference with Google Cloud A4X (GB200) and NVIDIA Dynamo

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As organizations transition from standard LLMs to massive Mixture-of-Experts (MoE) architectures like DeepSeek-R1, the primary constraint has shifted from raw compute density to communication latency and memory bandwidth. Today, we’re releasing two new validated recipes designed to help customers overcome the infrastructure bottlenecks of the agentic AI era. These new recipes provide clear steps to …

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Railway secures $100 million to challenge AWS with AI-native cloud infrastructure

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

Railway, a San Francisco-based cloud platform that has quietly amassed two million developers without spending a dollar on marketing, announced Thursday that it raised $100 million in a Series B funding round, as surging demand for artificial intelligence applications exposes the limitations of legacy cloud infrastructure. TQ Ventures led the round, with participation from FPV …

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AI models mirror human ‘us vs. them’ social biases, study shows

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Large language models (LLMs), the computational models underpinning the functioning of ChatGPT, Gemini and other widely used artificial intelligence (AI) platforms, can rapidly source information and generate texts tailored for specific purposes. As these models are trained on large amounts of texts written by humans, they could exhibit some human-like biases, which are inclinations to …

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I converted some Half Life 1/2 screenshots into real life with the help of Klein 4b!

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I know that there are AI video generators out there that can do this 10x better and image generators too, but I was curious how a small model like Klein 4b handled it… and it turns out not too bad! There are some quirks here and there but the results came out better than I …

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DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

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Diffusion large language models (dLLMs) are compelling alternatives to autoregressive (AR) models because their denoising models operate over the entire sequence. The global planning and iterative refinement features of dLLMs are particularly useful for code generation. However, current training and inference mechanisms for dLLMs in coding are still under-explored. To demystify the decoding behavior of …

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Agentic Orchestrator

How Thomson Reuters built an Agentic Platform Engineering Hub with Amazon Bedrock AgentCore

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This post was co-written with Naveen Pollamreddi and Seth Krause from Thomson Reuters. Thomson Reuters (TR) is a leading AI and technology company dedicated to delivering trusted content and workflow automation solutions. With over 150 years of expertise, TR provides essential solutions across legal, tax, accounting, risk, trade, and media sectors in a fast-evolving world. AI …

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