SAN DIEGO, Jan. 27, 2022 (GLOBE NEWSWIRE) -- GBT Technologies Inc. (OTC PINK: GTCH) ("GBT”, or the “Company”), is evaluating the use of advanced NLP algorithm model to enhance its AI based healthcare advisory system human interaction experience. The Text-To-Text Transfer Transformer (T5) model introduces an efficient technology to perform a wide variety of supervised Natural Language Processing (NLP) tasks such as classification, Q&A and summarization. Typically, most of the new deep learning NLP models are very large and include vast number of parameters. Normally the larger the NLP model, the more learning capacity it has, yet one of the main disadvantages is the huge dataset which may reduce the overall performance. The advanced NLP algorithm model is considered one of the most advanced, high performance NLP algorithms that includes a vast number of parameters, using significantly less memory, and provides high accuracy. GBT will be evaluating the T5, pre-trained model with the goal of using it in its Hippocrates healthcare advisory system, handling Q/A, text, summarization and compositional commonsense knowledge. The model allows more parallel processing than methods like Recurrent Neural Network (RNN) and Convolutional Neural Network (CNN) which significantly increases data understanding and reasoning capabilities. For example, T5 model is capable of processing words together rather than on a word-by-word of a given text. As global data realm is estimated to reach zettabytes range in the near future, our deep learning computing will need powerful processing capabilities, comprehending and scrutinizing data, particularly in the huge, unstructured NLP domain. The system is designed to perform as a general health Q/A advisory system, providing first-line of health-related advice. We plan to further develop the system to include intelligent telemedicine capabilities that will assist patients and healthcare specialists through global connected devices.
