Which NLP task is specifically concerned with generating human-like text?*1 pointText SummarizationMachine TranslationText GenerationNamed Entity Recognition

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.

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)

Natural Language Processing (NLP). NLP is the technology behind Copilot's ability to read, comprehend, and generate text similar to how humans would. Built on neural networks, NLP allows Copilot to analyze textual content, understand its full context and meaning, and generate natural language suggestions. NLP is a pivotal AI technology that helps machines understand, interpret, and respond to human language in a way that's meaningful. Some of the components involved in NLP include:

What is the purpose of sequence-to-sequence models in NLP?Question 5Answera.To remove noise from text datab.To classify text into different categoriesc.To convert text into numerical vectorsd.To generate text based on input sequences

What is the primary goal of language modeling in natural language processing?Question 1Answera.To generate human-like textb.To identify and classify named entities in textc.To classify text into different sentiment categoriesd.To predict the next word in a sequence