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Profits rose by 17% from the same period a year earlier.

The change came at a time when Santander Consumer's loss provision had been steadily rising, as the subprime lender targeted auto buyers with blemishes on their credit records.

Deep Learning techniques can be used for both retrieval-based or generative models, but research seems to be moving into the generative direction.

Deep Learning architectures like Sequence to Sequence are uniquely suited for generating text and researchers are hoping to make rapid progress in this area.

This week, the consumer got a taste of just how much their affection is worth to the country’s grocers.For the same reasons, these models can’t refer back to contextual entity information like names mentioned earlier in the conversation. They can refer back to entities in the input and give the impression that you’re talking to a human.However, these models are hard to train, are quite likely to make grammatical mistakes (especially on longer sentences), and typically require huge amounts of training data.Laurie Kight, a spokeswoman for Santander Consumer, said in an email that the company plans to file the annual report by the March 15 extension deadline.Monday's filing stated that Santander Consumer's financial statements have yet to be completed.

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