OpenAI’s GPT-2 (Generative Pre-trained Transformer 2) is a revolutionary language model that has been developed to generate human-like text. It is based on the Transformer architecture and is trained on a large corpus of web text. GPT-2 has been shown to generate text that is indistinguishable from human-written text, and has been used in a variety of applications, including summarization, question answering, and machine translation.
The cost of GPT-2 is significant, but not exorbitant. OpenAI estimates that the cloud compute costs for OpenGPT-2 were approximately $50,000. This cost includes the compute resources needed to train the model, as well as the storage costs associated with the large dataset used to train the model.
In addition to the cloud compute costs, there are other costs associated with using GPT-2. For example, OpenAI charges a fee for using their GPT-2 model in commercial applications. This fee is based on the number of queries made to the model, and can range from a few hundred dollars to several thousand dollars.
Finally, there are also costs associated with deploying GPT-2 in production. These costs can include hosting the model on a cloud platform, as well as the cost of developing the application that uses the model.
Overall, the cost of GPT-2 is significant, but not prohibitive. The cloud compute costs for OpenGPT-2 are approximately $50,000, and there are additional costs associated with using and deploying the model. For organizations that are looking to leverage the power of GPT-2, these costs should be taken into consideration when evaluating the potential benefits of using the model.