C4: Container, Code, Cloud & Context
Designing intelligent systems, one layer at a time. ~ Nithin Mohan T K
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… Continue reading
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.
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
A comprehensive guide to OpenAI’s GPT model family. Understand the differences between GPT-3.5, GPT-4, and GPT-4 Turbo, including pricing, features, context windows, and practical implementation advice for developers.