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Which technique is commonly used for text generation by language models?Review LaterHidden Markov Models (HMM)Recurrent Neural Networks (RNN)Decision TreesSupport Vector Machines (SVM)

Question

Which technique is commonly used for text generation by language models?Review LaterHidden Markov Models (HMM)Recurrent Neural Networks (RNN)Decision TreesSupport Vector Machines (SVM)

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Solution

The technique commonly used for text generation by language models is Recurrent Neural Networks (RNN).

Here's a step-by-step explanation:

  1. Text generation is a type of language modeling problem. Language Modeling is the task of predicting the next word or character in a document.

  2. Recurrent Neural Networks (RNN) are a type of artificial neural network designed to recognize patterns in sequences of data, such as text, genomes, handwriting, or the spoken word.

  3. Unlike feedforward neural networks, RNNs can use their internal state (memory) to process sequences of inputs. This makes them ideal for such tasks as unsegmented, connected handwriting recognition or speech recognition.

  4. In the context of

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