What if you could create an AI assistant just like bringing Frankenstein’s monster to life? In many ways, working with Large Language Models (LLMs) feels the same—you gather the parts (data, models, and tools), stitch them together (training and fine-tuning), and finally spark it into action with prompts. In this post, we’ll explore how LLMs actually work under the hood, from neural networks and weights to transformers and semantic understanding. Then, we’ll take this knowledge to build a practical assistant for a shipping company. And we hope that our assistant will learn to understand shipping queries, track packages, and answer… more