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There are two kinds of machine learning: supervised and unsupervised.
Supervised learning is when you have a lot of data that is carefully labeled so the machine can learn how to produce outputs for particular inputs.
Unsupervised learning is when the machine is exposed to a lot of data but doesn't have any labels.
GPT-3 is an unsupervised learner and it learned how to write by analyzing a lot of unlabeled data, like Reddit posts, Wikipedia articles, and news articles.
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A language model is a mathematical way of predicting how words will be said next, based on the probability of different word combinations.
Language models are probability distributions over a sequence of words.
They are used for many different tasks, like Part of Spee...
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OpenAI is a research lab that studies artificial intelligence. It was founded in 2015 and is funded by donations from people like Elon Musk and Microsoft.
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OpenAI, a research lab in San Francisco, created a deep learning model that is 175 billion parameters (permutations and combinations) and can produce human-like text.
It was trained on large text datasets with hundreds of billions of words.
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An AR model is a way to describe a random process. This is used to help understand time-varying processes in things like nature and economics.
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It stands for Generative Pre-trained Transformer 3 (GPT-3).
GPT-3 is a computer program that can create text that looks like it was written by a human. This program is gaining popularity because it can also create code, stories, and poems.
GPT-3 has gained a lot of at...
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NLP is a way to help computers understand human language. It is a subfield of linguistics, computer science, artificial intelligence, and information engineering.
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Deep learning is a type of machine learning where you teach a computer to learn by itself. This type of learning can be supervised, semi-supervised, or unsupervised.
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AI is when machines do things that are normally done by people like learning and problem-solving.
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GPT-3 can be understood by understanding a few keywords. These are:
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Machine learning is a field of artificial intelligence that focuses on understanding and creating methods that "learn". This means that the methods get better at doing certain tasks as they get more data.
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Language models prior to GPT-3 were designed to perform a specific NLP task, such as generating text, summarizing, or classifying. First, of its kind, GPT-3 is a generalized language model that can perform equally well on a wide range of NLP tasks.
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Generative models are a type of statistical model which are used to create new data by understanding the relationships between different variables.
Pre-trained models are models that have already been trained on a large dataset. This allows them to be used ...
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CURATED FROM
Having spent weeks attempting to understand what GPT-3 is, I have finally come up with my own simple explanation. Hope this makes sense to you.
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