GPT-3 is a type of Neural Language Model. It is used for solving various Natural Language Processing like Question Answering, Text Summarisation, Machine Translation (basically conversion from one language to other) and many more tasks. It is the most powerful language model built till now which can be seen by the amount of parameters present in it and the time required to train it. Neural language model means that it is a type of Neural network. It is a few shot learning model which means that it requires very less data to perform a new task eg- if it is trained to translate from English to French it will require just a 100 sentences to train it to translate from English to German or any other unknown language.
It is gaining great attention because it can generate text as well as code after some fine tuning. It is able to generate code for working react apps. It is also able to write poems, stories etc just by giving it a few sentences. That's the power of few shot learning.OpenAi has released its api for developers to try and build new tools.
It is also based on Transformers like other language models like BERT, ERNIE etc. It is pretrained using very large dataset and unsupervised learning technique is used for training of GPT-3. The concept of transfer learning which was popular in image classification is now implemented in the field of NLP.
It just needs a little bit of hint(prompt) if you give it a prompt like a write an article on Albert Einstein or write an article on JavaScript it will do that for you.
So yes it can write an article based on a previous article for you.
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GPT-3 is a type of Neural Language Model. It is used for solving various Natural Language Processing like Question Answering, Text Summarisation, Machine Translation (basically conversion from one language to other) and many more tasks. It is the most powerful language model built till now which can be seen by the amount of parameters present in it and the time required to train it. Neural language model means that it is a type of Neural network. It is a few shot learning model which means that it requires very less data to perform a new task eg- if it is trained to translate from English to French it will require just a 100 sentences to train it to translate from English to German or any other unknown language.
It is gaining great attention because it can generate text as well as code after some fine tuning. It is able to generate code for working react apps. It is also able to write poems, stories etc just by giving it a few sentences. That's the power of few shot learning.OpenAi has released its api for developers to try and build new tools.
It is also based on Transformers like other language models like BERT, ERNIE etc. It is pretrained using very large dataset and unsupervised learning technique is used for training of GPT-3. The concept of transfer learning which was popular in image classification is now implemented in the field of NLP.
can it spun article like we have an article from medium for example and we want to generate a new article based on that article is that possible?
It just needs a little bit of hint(prompt) if you give it a prompt like a write an article on Albert Einstein or write an article on JavaScript it will do that for you.
So yes it can write an article based on a previous article for you.