It will be significant to know some terminologies associated to ChatGPT, as a result of it decides how a lot you pay and the way you use ChatGPT. In easy phrases, prompt means a question you want to ask to ChatGPT. It's also referred to as search question. Think like this - you've gotten a really good machine which can answer something. You can ask it to put in writing an essay, a programming code, or anything you can think of. However the machine requires specific instruction from you on what exactly you want them to do. Tokens are subwords or words. If you observed words are break up into tokens as a result of they can have different suffix and prefix. These tokens resolve your usage and billing. OpenAI Team say you may estimate roughly that one token is about four letters for English text. But in actuality this varies lots. Within the earlier section you understand what token means. Now it is crucial to know the various kinds of tokens on the planet of ChatGPT.
0.002 per one thousand tokens. If you happen to pay GPT-4, you must pay extra and pricing construction is a bit complex. See the desk under. The context dimension refers to the number of tokens that the model considers when producing a response. For example, if you happen to ask GPT-four to read a web-based e-book earlier than answering the query. It's like setting the context. Once you’re there, you may create an account utilizing your Google or Microsoft e mail handle. After creating your account, crucial step is to get a secret API key to access the API. After you have your API key, store it for future reference. Before we are able to begin utilizing ChatGPT in R, we need to put in the necessary libraries. The two libraries we will likely be using are httr and jsonlite. The "httr" library permits us to put up our query and fetch response with OpenAI API, while the "jsonlite" library helps to transform R object to JSON format.