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
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 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… 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
It is a common question that has been asked in all Artificial Intelligence Conference or Discussion Forums. Based on my knowledge, I thought of answering some of these questions: 1.) Image Classification (also called Image Recognition): is the process of creating a thematic image where each pixel is assigned a number representing a class /… Continue reading
Custom Vision Service as part of Azure Cognitive Services landscape of pretrained API services, provides you an ability to customize the state-of-the-art Computer Vision models for your specific use case. Using custom vision service you can upload set of images of your choice and categorize them accordingly using tags/categories and automatically train the image recognition… Continue reading