Contents
What can GPT-2 be used for?
Developed by OpenAI, GPT-2 is a pre-trained language model which we can use for various NLP tasks, such as:
- Text generation.
- Language translation.
- Building question-answering systems, and so on.
What is GPT NLP?
Generative Pre-trained Transformer 3 (GPT-3) is an autoregressive language model that uses deep learning to produce human-like text. GPT-3, which was introduced in May 2020, and was in beta testing as of July 2020, is part of a trend in natural language processing (NLP) systems of pre-trained language representations.
How does GPT NLP work?
Generative Pre-trained Transformer (GPT) models by OpenAI have taken natural language processing (NLP) community by storm by introducing very powerful language models. These models can perform various NLP tasks like question answering, textual entailment, text summarisation etc. without any supervised training.
How many parameters does GPT-2 have?
1.5 billion parameters
Both are unsupervised transformer models trained to generate text by predicting the next word in a sequence of tokens. The GPT-2 model has 1.5 billion parameters, and was trained on a dataset of 8 million web pages.
How do I get GPT-2?
Open your terminal and clone or download the above repository into a directory in your local system say users/user_name/Documents/GPT-2. Create an empty file called dockerfile. gpt and copy the following commands and save the file in the directory or edit the existing Dockerfile. cpu to have the following content.
What makes GPT-2 different from other NLP models?
Among state-of-the-art NLP models, GPT-2 stands out due to the gigantic (40G) dataset it was trained on, as well as its enormous number of weights. The architecture, in contrast, wasn’t new when it appeared.
What kind of language is GPT2 in R?
We introduce gpt2, an R package that wraps OpenAI’s public implementation of GPT-2, the language model that early this year surprised the NLP community with the unprecedented quality of its creations.
Is there a source code for training GPT-2?
OpenAI does not release source code of training GPT-2 (as of Feb 15, 2019). Therefore, we can only use the trained model for research or adoption. Meanwhile, the only released trained model is the smallest one which having 117M parameters one. To download this model, you may follow the instruction in GPT-2 Github.
How is GPT-2 trained to predict next word?
GPT-2 is trained to predict next word based on 40GB text. Unlike other model and practise, OpenAI does not publish the full version model but a lightweight version. They mentioned it in their blog: Due to our concerns about malicious applications of the technology, we are not releasing the trained model.