How do we aim this automatic text generation mechanism towards specific types of answers that match what the user is asking? Well this brings in the notion of feature detection, which is the fourth out of the five total ideas I want to go over today. What happens with feature detection is a response. So we have a request and perhaps the answer that follows the request is being input into our large language model. The first step is to, right? Because everything gets pushed into the model. You get the whole original question and you get everything the model has said so far in its answer. Now think about having now a huge number of these rules for many, many different type of things that people could ask
Are new AI technologies like ChatGPT about to massively disrupt our world? Drawing from his recent New Yorker article on the topic, Cal explains exactly how programs like ChatGPT work, and uses this knowledge to explain why we can calm our fears about this new technology.
Below are the questions covered in today's episode (with their timestamps). Get your questions answered by Cal! Here’s the link: https://bit.ly/3U3sTvo