Category: AI Infrastructure
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Loops: The Quiet Skill Behind Every AI System That Actually Scales
Why the Future of AI Isn’t About Better Models—It’s About Better Loops Every week a new AI model arrives. A larger context window. A better benchmark score. A more impressive demo. The industry conversation usually follows the same pattern: Is GPT-5 better than Claude? Is Claude better than Gemini? Is Gemini better than…
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Learn AI for Free: 10 Platforms From OpenAI, Google, Microsoft, NVIDIA & More
A few years ago, learning Artificial Intelligence felt expensive. People spent thousands of dollars on bootcamps, certifications, and online programs hoping to gain AI skills that could improve their careers. Today, something remarkable has happened. The companies building the world’s most advanced AI systems are teaching people for free. Not…
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The Hidden Context Window Problem in RAG Systems: A Real Production Incident with vLLM and Qwen3
When Your 32K Context LLM Fails at 4K Tokens: A Production vLLM Troubleshooting Guide One of the most common misconceptions in Generative AI systems is: “The model supports 32K context, so my application automatically supports 32K context.” In production, that assumption can lead to unexpected failures. Recently, we encountered a production issue…
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Want to Learn AI Without Spending Thousands on Courses?
Microsoft has made its entire AI for Beginners curriculum available for FREE on GitHub. đź“š 12 Weeks | 24 Lessons | Hands-On Labs | Open Source This isn’t a marketing tutorial or a collection of random videos. It’s a structured learning path created by Microsoft Cloud Advocates that covers the fundamentals of…
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Google Gemma 4 12B: The Model That Signals a Bigger Shift in AI Infrastructure
Over the past year, I’ve spent a considerable amount of time working with both local and production AI environments. On one side, I’ve been experimenting with local LLMs using Ollama, testing quantized models, and exploring how much intelligence can realistically run on developer laptops. On the other side, I’ve been deploying production workloads…