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Monthly Archives: August 2023
Time, neural network and transformer
Lets us start with time. Time allows to introduce a sequential order – one after the other. When we look for example on usual word embedding it is not just assigning a word a single number, it is usually an … Continue reading
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Deep Learning, Generative AI and Foundation models
To begin with, let’s clarify our discussion. AI, or Artificial Intelligence, is the field that involves using computers to perform tasks that resemble human abilities. To achieve this, we need to implement these tasks effectively. One approach to achieving this … Continue reading
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Practical attention mechanism
Google created the “Transformer” neural network architecture (check the provided link) to tackle the difficulties associated with sequence transduction, a challenge that arises when working with sequence-to-sequence models. The core concept in this architecture revolves around a technique known as … Continue reading
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Physical MAC encoding
MACs are physically encoded via different technical approaches e.g.,:
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