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Choosing an LLM for Enterprise RAG: Retrieval Fit Beats Model Hype

TL;DR The best LLM for enterprise RAG is not automatically the largest or newest model. The right model is the one that works with your retrieval design, citation expectations, latency target, cost profile, data controls, and evaluation requirements. Model selection should happen after source quality, access control, retrieval behavior, and test questions are understood. Why […]

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On-Prem Private AI Series: Dell AI Factory with NVIDIA and Red Hat OpenShift AI as the AI Factory Build Pattern

TL;DR Dell AI Factory with NVIDIA and Red Hat OpenShift AI is the private AI option for organizations that want a validated infrastructure and platform stack instead of building every AI layer themselves. Compared with the VMware approach in the first article, Dell’s center of gravity is less about extending an existing private cloud operating

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Why Platform Engineering Is Becoming a CEO-Level Productivity Strategy

TL;DR Platform engineering is becoming a CEO-level productivity strategy because software delivery is now a direct constraint on revenue, customer experience, operational change, regulatory response, and AI adoption. A well-designed internal developer platform reduces repeated engineering work, shortens delivery queues, embeds security and reliability controls, and gives product teams a supported path from idea to

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‘The language of Pokémon is universal’: why fans are still catching ‘em all after 30 years

As Pokémon Go celebrates its 10th anniversary, its devoted players explain how the game has created a vibrant intergenerational community spanning the globeMost Pokémon obsessives count rare, absurdly expensive playing cards or pristine, fully boxed game cartridges that have survived decades in the attic among their most prized possessions. But for Mairead Ralph, her Pokémon-related

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Study warns Northern Hemisphere lakes could lose around 40 days of winter ice by 2100

A new international study has found that lake ice across the Northern Hemisphere could shrink by about 40 days by the end of this century if emissions remain high. Researchers identified critical winter temperature thresholds beyond which ice loss accelerates sharply, raising concerns over water quality, freshwater ecosystems and communities that depend on stable winter

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NVIDIA AI Releases Molt: A PyTorch-Native Agentic Reinforcement Learning Framework

Agentic reinforcement learning research is constant algorithm modification. New estimators, new pipeline stages, new rollout schemes. In mainstream frameworks each change threads through layers of trainer, distributed backend, and rollout glue. That cost lands on the researcher at every iteration. Molt, from NVIDIA’s NeMo team, targets that cost directly. Its a PyTorch-native agentic RL framework

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