I feel like in the near future, every developer will have their own local LLM sitting right alongside their environment—just like how we all have VS Code, Visual Studio, or SQL Server Management Studio today. As data architects and developers, we’re often tempted to throw the biggest, most powerful API at every text-processing problem we encounter. Need a resume parsed? Call Claude. Need a user query categorized? Hit GPT-4. But when you’re processing thousands of documents, building high-volume automation pipelines, or handling proprietary application logs, relying entirely on external APIs introduces three major headaches: Spiraling token costsNetwork latency spikesData privacy… Read more
Tag: Generative AI
How Large Language Models (LLMs) Work:
A Data Engineer’s Guide to Understanding Large Language Models If you’ve ever typed a prompt into ChatGPT, Claude, or Gemini and wondered, “How does this thing actually work?” — you’re not alone. Large Language Models (LLMs) are the most talked-about technology in recent years. Yet what happens under the hood remains unclear to many engineers. In this article, we’ll break down how LLMs work — from architecture to training to inference — so you understand not just what they do, but how and why they do it. 1. What Is an LLM, Really? At its core, a Large Language Model… Read more