The goal is to be able to summarise long audios, to help people who don't have time to catchup on lecture recordings to understand what they might have missed. In the future lecture notes with key points and explainable diagrams will be created to even better the content quality that can be derived from these recordings. It would also be useful for those including myself who are too shy to ask question during lectures but also need help in understanding certain parts of the lecture in a simpler and well broken down method , most likely better than what the lecturer would have explained. This will be good to implement as part of a university's app for use by the students
Transformers are context-learning neural networks. They learn by tracking relationships in sequential data, for example, words in sentences. You might know them as some of the best AI models in the market - OpenAIβs GPT-3 and Cohere In our 3-day Hackathon, organized along with the Swiss AI Association, youβll use context-learning neural networks to build solutions with people from all around the globe and have an opportunity to pitch your AI Prototypes worldwide. Jump in to learn more about harnessing the power of Transformers!
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