ai-explained.hashnode.devSystem Prompts and Prompting Techniques: A Beginner-Friendly GuideWhat is a “system prompt,” really? Imagine you’re hiring a chef. Before any ingredients come out, you hand them a recipe brief: the cuisine, dietary rules, plating style, portion size, and the tone of the dining experience (“comforting family dinner,...Aug 15, 2025·6 min read
ai-explained.hashnode.devBuilding a “Thinking” Model from a “Non-Thinking” Model with Chain-of-ThoughtMost large language models (LLMs) can answer questions directly. Ask “What’s 12×13?” and they blurt “156.” That’s a non-thinking model behavior: it jumps straight to a final answer without showing how it got there. This works for many look-up or shor...Aug 15, 2025·4 min read
ai-explained.hashnode.devEmbeddings, Explained to Mom: A Friendly Tour of the “Idea Pantry”Imagine we’re in your kitchen, Mom. You like things neat. Cans of tomatoes with other cans of tomatoes. Spices together. Snacks in one basket. You group things that “go together,” so when you need cinnamon, you know exactly where to reach. Vector emb...Aug 13, 2025·3 min read
ai-explained.hashnode.devTokenization, Explained Like Lego BlocksImagine you’re building a castle out of Lego. You don’t place the whole castle at once—you snap together lots of small bricks. Text works the same way for AI models. Instead of swallowing whole paragraphs, models read tokens: small chunks of text sna...Aug 13, 2025·3 min read
ai-explained.hashnode.devThe Book That Talks Back: Meet GPTTonight, the moon is a sleepy cookie.You cuddle in. The blanket is a warm cloud.Your book wiggles. It whispers, “Psst… want a story?” Meet GPT, a Magical Talking Book.Grown-ups use the letters.You can call it Good Pal of Tales. “Hello,” you say. “Do ...Aug 13, 2025·2 min read