Experiments at work

So you want to build an AI assistant? Maybe for customer support, maybe to search through documents, or maybe just to automate some boring stuff at work. You keep hearing words like "prompting", "RAG", "fine-tuning" thrown around in meetings. But what do they actually mean and which one do you need? Let me walk you through building a customer support AI assistant and show you how each of these concepts fits in. /**  * @disclaimer  * This is an educational post based on my learnings.  * I'll share actual experiments in future posts.  * Your use case might be different, so take what applies to you. */ What even is an LLM? Before we jump into the techniques, let's start with the basics. What is an LLM? Think of a Large Language Model (LLM) as someone who has read most of the internet but has zero memory of your conversation once it ends. Models like GPT-4, Claude, or Llama have been trained on massive amounts of text data. They know a lot...