Language Models as an Engine of Progress: Unusual Applications for GPT-3





In early summer, the developers at OpenAI introduced the GPT-3 language model, created for writing coherent text based on a given material. She was trained on 570 gigabytes of web content, wikipedia, and fiction, nearly 15 times the size of a GPT-2 dataset. The model is excellent at writing poetry and prose, can translate into several languages, solve anagrams and answer questions about the material read. The creativity of language models is becoming increasingly difficult to distinguish from real text, and GPT-3 is no exception. For example: How I, an AI specialist, bought the AI ​​text .



But the peculiarity of GPT-3 is not only cool work with text - this does not particularly distinguish it from other models. In fact, its possibilities seem endless, and the examples are amazing. Judge for yourself: receiving the simplest imperative request as input, GPT-3 can write code, typeset, compose requests, keep records, search for information, and much more.



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The code



It is enough to feed the model with a couple of training examples, and she will be able to write small structures like layout or description of ML-models:



Layout generator in JSX



This demo was written by Sharif Shameem as a prototype of a front-end builder. You can access it by filling out this form .


Imperative layout



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SQL



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Figma



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Google Spreadsheets



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The functionality of GPT-3 is not limited to machine texts. Developers from all walks of life are embedding this model in their tools, and we can already expect a new wave of startups based on it. Unfortunately, now GPT-3 is available only by invitation from OpenAI as part of beta testing, but later it will be opened for commercial use. Some demos are available by recording, so you can play with the model now.



There are more and more horror stories about artificial intelligence replacing programmers, and it seems that sooner or later this will happen. Wait and see.






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