With classical computing we perform calculations one bit at a time. “When we say quantum computing, we mean computing based on quantum physics. My eighth grader asked me what this passage means: What if we change the initial request to this? Remember, this is explaining a quantum computer to a second grader.
#SUMMARIZE MY TEXT HOW TO#
"Some people think that if you had one hundred people working on one problem for one hundred years you could not figure out how to solve it with a regular computer but if you had one hundred people working on one problem for one hundred years using a special kind of computer called a Quantum Computer you could figure out how to solve it." The API will respond with an answer like this: I rephrased it for him, in plain language a second grader can understand: Quantum computing is the use of quantum-mechanical phenomena such as superposition and entanglement to perform computation… My second grader asked me what this passage means:Īnd insert below it the first five paragraphs from Wikipedia about quantum computing (about 600 words of text.) Let me show you from an example in the OpenAI API Playground. I can’t overstate how impactful this could be in education, research, training, self-learning and any other aspect of human life where we want to learn new things.
This is honest to goodness getting what the text is saying and then breaking it down to me like I’m five summarization. This isn’t a typical key-phrase summarization where it looks for repeated phrases.
It’s capable of taking a large passage and summing it up into a smaller one, and even using easier-to-understand language. In this post I thought I’d demonstrate its ability to summarize content in a way that was never possible before. That means that there’s an entire universe of potential out there if you can figure out how to ask the right question. The API was never trained to do any of the previous examples or the ones I’m about to show. This is just a small fraction of what’s possible. I thought it would be fun to show some other examples of what the API can do, from both my experiments with it and the examples OpenAI provided. I also demonstrated how the API can add to scripted dialogue between characters, quickly grasping the personalities and the points of view of each one. In another post I showed how the API was able to complete lists of fictional characters, determining that it’s a list, a list of DC characters and even the gender. From determining the format to the context, it only takes a little bit of input to get amazing results. OpenAI’s API is incredibly adept at picking up patterns in text.
0 kommentar(er)
