When Your RAG System Gets a Brain Freeze: Dealing with Hallucinations, Poor Context, and MoreAug 20, 2025·5 min read
RAG Concepts for Production-Ready SystemsRetrieval-Augmented Generation (RAG) has emerged as a powerful paradigm for building knowledge-intensive applications by grounding Large Language Models (LLMs) in external data. While basic RAG pipelines are relatively straightforward, deploying robu...Aug 22, 2025·6 min read
From Parrot to Problem-Solver: Teaching an LLM to "Think" with Chain-of-ThoughtAug 14, 2025·5 min read
A Guide to System Prompts, Zero-Shot, Chain-of-Thought (COT ) and Few-Shot PromptingHave you ever asked an AI like ChatGPT for something specific, only to get a generic, bland, or completely off-the-mark response? The problem probably wasn't the AI—it was the prompt. Getting the best results from a Large Language Model (LLM) is an a...Aug 14, 2025·5 min read
Explaining Vector Embeddings to Mother 👩👧👦Hi Mummy, I know you're always asking what I do all day on the computer. I'm not just watching reels, I swear! I'm working with something called "Vector Embeddings," and I thought I'd try to explain it to you. Don't worry, it's not some bhoot-pret ki...Aug 13, 2025·3 min read
A Simple Guide to GPT for KidsExplaining GPT to a 5-Year-Old Imagine you have a magical talking book. This book has read every other book, listened to every conversation, and knows all the words and how they fit together. When you ask it a question, it doesn't just look up an ans...Aug 13, 2025·2 min read
What the "Token"? A Beginner's Guide to How LLMs Understand You 🤖Ever wonder how models like ChatGPT, Gemini, Claude etc can chat with you, write code, or translate languages? It all starts with a single, crucial step: tokenization. If you're new to AI, this might sound like a complex technical term, but the idea ...Aug 13, 2025·5 min read