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… Continue reading
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.… Continue reading
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… Continue reading
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… Continue reading
The first time I witnessed a generative AI system accurately synthesize a patient’s complex medical history into actionable clinical insights, I understood we were entering a new era of healthcare delivery. After two decades of architecting enterprise systems across industries, I can say that healthcare presents both the greatest challenges and the most profound opportunities… Continue reading
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… Continue reading
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… Continue reading