GPT-2 is a large transformer-based language model with 1.5 billion parameters, originally trained on a dataset of 8 million web pages. GPT-2 is trained with a simple objective: predict the next word, given all of the previous words within some text. The diversity of the dataset causes this simple goal to contain naturally occurring demonstrations of many tasks across diverse domains. GPT-2 is a direct scale-up of GPT, with more than 10X the parameters and trained on more than 10X the amount of data.
Why is Beyond Query working with GPT-2?
While there is much controversy over the fear of deciphering real content such as proper journalism versus fabricated storytelling; we see a much bigger picture behind the value of a machine creating content. Content that does not take away from subject matter experts. Our investment is focused towards Natural Language Processing is critical for businesses to the demanding need of online content at a fast research and result rate.