Easily separate AI hype from real progress

Using LLMs to extract structured data will allow you to easily separate AI hyper from genuine progress

It allows you to use a systematic process (like the one I explain in this course) to get an intuition for how well AI is able to do certain tasks

When you see how often AI can fail at tasks which seem quite simple to humans, you will realize that there is a lot of hype in AI, (but are also a lot of genuine breakthroughs)