Sara Zan🤔 Sometimes we need to explain some technical decisions to people that never worked with an LLM before. That's very hard!
đź’ˇ Is it possible to build a story that makes them not only able to understand our decisions, but also to reason about them to some degree?
đź“° Check out my latest blogpost on this theme and build your own story about why LLMs are good at some tasks and terrible at others.
Explain me LLMs like I'm five: build a story to help anyone get the idea
These days everyone’s boss seems to want some form of GenAI in their products. That doesn’t always make sense: however, understanding when it does and when it doesn’t is not obvious even for us experts, and nearly impossible for everyone else. How can we help our colleagues understand the pros and cons of this tech, and figure out when and how it makes sense to use it? In this post I am going to outline a narrative that explains LLMs without tecnicalities and help you frame some high level technical decisions, such as RAG vs finetuning, or which specific model size to use, in a way that a non-technical audience can not only grasp but also reason about.
