What is the process of encoding text data into vectors called?Training a deep learning model.Building a text index.Generating text embeddings.Serving the search results

What is text vector representation?

What is the purpose of vector-based embeddings? To represent semantic meaning of text tokens.To create tokens that include multiple representations of a word in different languages.To correct misspellings in the training data.

What is the name of the machine learning architecture that takes a sequence of words as input and outputs a sequence of words?Regressive neural networkingCollaborative natural networkEncoder-decoderLarge stream text manipulation

What is the name of the machine learning architecture that can be used to translate text from one language to another?Neural networkEncoder-decoderConvolutional neural network (CNN)Long Short-Term Memory (LSTM)

Models trained of vast amounts of text to then being able to ‘understand’ and generate human-like text and produce coherent and contextually relevant responses.