LLMs trained only on next-word prediction might arrive at the correct answer, but they lack the ability to logically deduce ...

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This paper proposes QDLTrans, a framework designed to enhance translation performance under resource-scarce conditions by integrating the multilingual pre-trained model ML-BERT into the Transformer ...

2019: Acquisition of S&S Transformers & Accessories Private Limited. 2022: Takeover of the business of Electrical Power Equipment Company, Bangalore. Investment in NebeskieLabs Private Limited by ...

While heavy houses are better for earthquakes, lighter ones are better for flooding, says Taku Hibino, the CEO of Hibinosekkei, an architecture firm specializing in care facilities for children ...

The proposed method employs the BERT model, a Transformer-based architecture, for personality prediction, combined with an oversampling technique to handle data imbalance. The predicted personality ...

How transformers work, why they are so important for the growth of scalable solutions and why they are the backbone of LLMs.

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