VKVinay Kumarinn4ryn.hashnode.dev·4d ago · 9 min readHow ChatGPT Understands Your Questions: A Beginner's Guide to LLMs, Tokens, and TransformersHave you ever wondered what actually happens after you type a question into ChatGPT? You type: "Explain black holes like I'm 10 years old." Within seconds, ChatGPT generates a clear and natural res00
VKVinay Kumarinn4ryn.hashnode.dev·Aug 22, 2025 · 3 min readAdvanced RAG Concepts: Scaling, Accuracy, and Production-Ready PipelinesRetrieval-Augmented Generation (RAG) has rapidly become a cornerstone technique for making large language models (LLMs) more reliable, grounded, and domain-specific. In practice, however, designing effective RAG systems is more than simply plugging i...00
VKVinay Kumarinn4ryn.hashnode.dev·Aug 20, 2025 · 4 min readRetrieval Augmented Generation (RAG): The Bridge Between Knowledge and Language ModelsLarge Language Models (LLMs) like GPT are powerful at generating human-like text, but they have one major limitation: their knowledge is fixed at the time of training. To overcome this, Retrieval Augmented Generation (RAG) has emerged as a method to ...00
VKVinay Kumarinn4ryn.hashnode.dev·Aug 18, 2025 · 4 min readWhat Makes AI Agentic?Agentic AI represents a new stage in artificial intelligence, where systems cannot only answer questions but also pursue goals, make decisions, and take actions independently. Unlike traditional AI models that stop at generating text, Agentic AI inte...00
VKVinay Kumarinn4ryn.hashnode.dev·Aug 15, 2025 · 4 min readBuilding a Thinking Model from a Non-Thinking Model Using Chain-of-ThoughtIn recent years, Large Language Models (LLMs) have transformed how we interact with AI. They can write essays, solve problems, and even generate code. But there’s a difference between producing an answer and thinking through a problem. Many models es...00
