Let's Build Something amazing with GPT-3 OpenAI

GPT-3, or the third generation Generative Pre-trained Transformer, is a neural network machine learning model trained using internet data to generate any type of text. Developed by OpenAI, it requires a small amount of input text to generate large volumes of relevant and sophisticated machine-generated text.

GPT-3's deep learning neural network is a model with over 175 billion machine learning parameters. To put things into scale, the largest trained language model before GPT-3 was Microsoft's Turing NLG model, which had 10 billion parameters. As of early 2021, GPT-3 is the largest neural network ever produced. As a result, GPT-3 is better than any prior model for producing text that is convincing enough to seem like a human could have written it.

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what is GPT3

In May 2020, OpenAI, an AI research lab founded by Elon Musk, launched the latest version of an AI-based Natural Language Processing system named GPT-3 that can mimic human language. This 175-billion parameter deep learning language model was trained on larger text datasets that contain hundreds of billions of words.

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Chatbots

Providing context-sensitive help is quite common in software. But most times users will have secondary questions, and now it’s common to provide chatbots for this purpose.

coding

There are numerous online demos where users demonstrated GPT-3’s abilities to turn human language instructions into code. However, please note that none of these are robust , production ready systems. They are based on online demonstrations of GPT-3’s potential:

Mathematical Decoders

More than language learning, GPT-3 can learn math. Note that the program will not know all mathematical theories, but it can generate accurate answers to given equations, such as those used in accounting.

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How does GPT-3 work?

GPT-3 is a language prediction model. This means that it has a neural network machine learning model that can take input text as an input and transform it into what it predicts the most useful result will be. This is accomplished by training the system on the vast body of internet text to spot patterns. More specifically, GPT-3 is the third version of a model that is focused on text generation based on being pre-trained on a huge amount of text.

When a user provides text input, the system analyzes the language and uses a text predictor to create the most likely output. Even without much additional tuning or training, the model generates high-quality output text that feels similar to what humans would produce.

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