More specifically GPT-3 stands for 'Generative Pretrained Transformer 3', with transformer representing a type of machine learning model that deals with sequential data. GPT-3 is like a freshly-hired intern, who is well read, opinionated, and has a poor short-term memory This is hard to conceptualize because we as humans don't process information like this. If you read everything there is to read, and stored how likely words are to appear together, in context, then you should be able to 'guess' how a sentence or story will sound. Computers are not designed to be creative, so effectively this is option gives GPT-3 the freedom to questionable choices. The most important of which is called temperature, the measure of how creative the outputs will be. When you use GPT-3, you supply your input, and a few options. When hearing this people often compare it to autocorrect. GPT-3 works by taking a section of input text, and predicting the next section of text that should follow directly after. It is clever and offers fresh perspectives on how to solve problems, yet you don't really trust it to run your company or talk directly to customers. It does this exceedingly well.Īs an analogy you can think of GPT-3 like a freshly hired intern, who is well read, opinionated, and has a poor short-term memory. I use 'text' here specifically, as GPT-3 itself has no intelligence –it simply knows how to predict the next word (called a token) in a sentence, paragraph, or text block. In short, it is a system that has consumed enough text (nearly a trillion words) that it is able to make sense of text, and output text in a way that appears human-like. GPT-3 is a machine learning language model created by OpenAI, a leader in artificial intelligence.
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March 2023
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