C4: Container, Code, Cloud & Context
Designing intelligent systems, one layer at a time. ~ Nithin Mohan T K
When Anaconda released their AI Navigator tool, I was skeptical. After two decades of building data science environments from scratch, managing conda environments manually, and wrestling with dependency conflicts across dozens of projects, I wondered if yet another GUI tool could actually solve the problems that have plagued Python development for years. After six months […]
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After two decades of building data systems, I’ve watched Natural Language Processing evolve from a research curiosity into an indispensable tool for extracting value from the vast ocean of unstructured text that enterprises generate daily. The convergence of transformer architectures, cloud-scale computing, and mature NLP libraries has fundamentally changed how we approach data analytics, enabling […]
Read more →Master parameter-efficient fine-tuning with LoRA and QLoRA. Learn how to customize LLMs like Llama 3 and Mistral on consumer hardware with step-by-step implementation guides.
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The journey from experimental machine learning models to production-grade systems represents one of the most challenging transitions in modern software engineering. After spending two decades building distributed systems and watching countless ML projects struggle to move beyond proof-of-concept, I’ve developed a deep appreciation for cloud-native approaches that treat machine learning infrastructure with the same rigor […]
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Throughout my two decades in machine learning and AI systems, few developments have captured my imagination quite like the convergence of meta-learning with generative models. The ability to teach machines not just to learn, but to learn how to learn efficiently from minimal examples, represents a fundamental shift in how we approach AI system design. […]
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The moment I first deployed a production generative AI application on AWS, I realized we had crossed a threshold that would fundamentally change how enterprises build intelligent systems. After spending two decades architecting solutions across every major cloud platform, I can say with confidence that AWS has assembled the most comprehensive generative AI ecosystem available […]
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