C4: Container, Code, Cloud & Context
Designing intelligent systems, one layer at a time. ~ Nithin Mohan T K
After two decades of building language-aware systems, I have witnessed the most profound transformation in how machines understand and generate human language. The emergence of generative AI has fundamentally altered the NLP landscape, moving us from rigid rule-based systems to fluid, context-aware models that can engage in nuanced dialogue, create compelling content, and reason about […]
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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 Reality Check We All Need The first time I encountered a hallucination in a production AI system, it cost my client three days of debugging and a significant amount of trust. A customer-facing chatbot had confidently provided detailed instructions for a product feature that simply did not exist. The response was articulate, well-structured, and […]
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Introduction Welcome to a fascinating journey into the world of AI innovation! Today, we delve into the realm of Retrieval-Augmented Generation (RAG) – a cutting-edge technique revolutionizing the way AI systems interact with external knowledge. Imagine a world where artificial intelligence not only generates text but also taps into vast repositories of information to deliver […]
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The moment I truly understood tokenization was not when I read about it in a textbook, but when I watched a production NLP pipeline fail catastrophically because of an edge case the tokenizer could not handle. After two decades of building enterprise systems, I have learned that tokenization—the seemingly simple act of breaking text into […]
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The first time I watched a generative model produce coherent text from a simple prompt, I knew we had crossed a threshold that would reshape how we build software. After two decades of working with various AI and ML systems, from rule-based expert systems to deep learning pipelines, I can say with confidence that generative […]
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