$GTCH “Natural Language processing (NLP) is curr

$GTCH “Natural Language processing (NLP) is currently broadly used for the various tasks involving sentiment analysis, for example spam email detection, textual/voice driven virtual assistants, chatbots, and similar. In the last decade, deep learning technology have become more powerful, allowing larger data and faster processing models to handle the constantly growing unstructured data. The amount of unstructured data has become a challenge for information analysis especially within the NLP arena due to compositional complexity and the demand for a human-alike interaction. Today’s voice and text digital assistants are expected to efficiently “understand” verbal or textual conversations, exactly as an in-person interaction. Artificial General Intelligence (AGI) is our machine learning solution to “understand” the data, reason and make decisions exactly as a human would do. One of the key challenges for such system is to comprehend humans natural language, interpret, and manipulate it, which is exactly what NLP is. Our Avant! deep neural networks already encapsulate vast computing power, allowing larger language models with faster processing. We are seeking new capabilities by combining new NLP models with our current technology to better “understand” users, their intent, and providing accurate, well summarized, response. We are evaluating if the possible implementation of the T5 model within our Hippocrates healthcare AI system may produce much more robust level of user’s chat interaction with more human-alike dialog, mainly intuitive. The Hippocrates healthcare advisory system is aimed to provide first line health related advice and to become an assisting tool for the general population and healthcare professionals. Its human interaction aspect, via a robust NLP technology, is one of the most important features to ensure viable and accurate health related advice information” provided Danny Rittman, the Company’s CTO.

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