What is ChatGPT?
ChatGPT is a large language model developed by OpenAI. It is trained on a dataset of conversational text and is designed to generate human-like responses to text inputs. ChatGPT can be used to generate responses in a variety of settings, such as chatbots, automated customer service systems, and more. It is a transformer-based neural network trained using unsupervised learning on a massive dataset of internet text, which allows it to generate human-like text with a high degree of coherence and fluency. It is also pre-trained on a huge corpus of text from the internet to generate high-quality natural language responses.
Why does ChatGPT only have data until 2021?
ChatGPT, like many other language models, is trained on a dataset of text from the internet. The dataset used to train the model is only up to a certain point in time, and the model's knowledge is based on the information available in that dataset. Therefore, the model's knowledge is limited to what was present in the dataset at the time of training, and it may not have information or be aware of events that have occurred after the data cutoff date.
Why was there a data cutoff?
There are several reasons why a data cutoff may be used when training a language model like ChatGPT. One reason is that the dataset used to train the model may only be available up to a certain point in time. Another reason is that the model's performance may be evaluated up to the data cutoff, and the training process may be stopped or paused. Additionally, as the internet is constantly growing and changing, it is not feasible to include all of the data available. So, data cut off is used to control the size and scope of the dataset to make the training and evaluation process manageable.