GPT-4 was likely trained on much the same dataset, though again, OpenAI is keeping quiet. It can write emails, poetry, dialog, and, of course, marketing copy. This huge volume of data allows it to respond to a variety of different prompts. That training data is important: GPT-3 was trained on roughly 500 billion "tokens" from websites, books, news articles, and other kinds of written content. We've likely reached the point where refinements to the tools, techniques, and training used to build AI models are going to be more important than just making bigger models. Even still, as OpenAI's CEO Sam Altman has explained, more parameters doesn't necessarily mean more powerful AIs. OpenAI hasn't revealed how many parameters GPT-4 has, though it's presumably significantly more-though nothing close to the 100 trillion that were being thrown around before its launch. Ask it for a love song about Zapier, and it will do its best to write one. You can think of the GPT models' neural networks as complex, many-layered algorithms with billions of parameters or variables that allow them to take an input- your prompt-and then, based on the values and weightings it gives to the different parameters, output whatever it thinks best matches your request. On average, tokens are roughly four characters long. Many words map to single tokens, though longer or more complex words often break down into multiple tokens. Instead of words, they use semantic "tokens," which allow the language models to more easily assign meaning and predict plausible follow-on text. The GPT models use a " neural network" to predict what text should come next in any given sentence. With ChatGPT, they're set up to act like a chatbot and conversational partner-but you still have a lot of access to the underlying GPT models. There are other GPT-powered tools that use these models to generate content in different ways, for example by writing blog posts or rewording emails. It serves both as a way to gather data from real users and as a demo for the power of GPT-3 and GPT-4. How do AI content generators work?ĬhatGPT is an app built by OpenAI using specially modified versions of its GPT (Generative Pre-trained Transformer) language models. You might be surprised at just how useful it can be-and how unlikely it is to steal my job. Plus, it can be a free way to check out what AIs are capable of right now. It isn't actually designed as a marketing tool, but its flexibility allows you to do quite a lot with it. There are a few different AI tools aimed at writers out there, but one of the most interesting right now is ChatGPT, OpenAI's chatbot.
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