May 5 · 7 min read · If you've spent any time in the distributed systems community, you know the feeling. You make a technical argument for years, back it with data, point to the architectural inevitability of it, and get polite nods from people who then go buy more cent...
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Dec 15, 2025 · 6 min read · AI Model Efficiency, Cloud Resource Management, Deployment Strategies, and Performance Metrics Summary Organizations deploying AI solutions often default to using large language models (LLMs) for all tasks, regardless of complexity. This approach res...
Join discussionDec 4, 2025 · 6 min read · Over the past two years, you’ve probably noticed how often Artificial Intelligence (AI) conversations center on Large Language Models (LLMs). Names like ChatGPT, Claude, and Gemini have become shorthand for what AI can do, and for a good reason. Thes...
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Nov 16, 2025 · 5 min read · Last tuesday i watched my automated support agent burn through $200 in API calls. It answered maybe 40 questions. Most of them were "what's your return policy" variations. The agent worked fine. But i kept thinking about the model underneath. A massi...
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Oct 18, 2025 · 9 min read · Big models are impressive, but the future of many real-world AI systems looks “small-first.” SLMs (8B params and below, or highly distilled versions) are winning where latency, cost, privacy and local execution matter — and smart distillation + PEFT ...
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Aug 23, 2025 · 5 min read · Part I: Redefining the Landscape - Beyond the Hype of Scale Introduction: The Paradigm Shift from "Bigger is Better" to "Fit for Purpose" The artificial intelligence landscape has been dominated by a compelling narrative: bigger is better. The prolif...
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Aug 23, 2025 · 4 min read · Artificial Intelligence has seen an explosion in recent years with the rise of Large Language Models (LLMs) like GPT-4, Claude, Gemini, and LLaMA. These models, often with billions (or even trillions) of parameters, have demonstrated remarkable capab...
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May 19, 2025 · 7 min read · Service level management (SLM) represents a strategic shift in how organizations approach reliability and performance. Rather than reacting to issues after they occur, SLM enables businesses to proactively set, measure, and maintain performance stand...
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