ml-specialty video for an analytics company wants to create a text summarization model based on the SageMaker seq2seq algorithm. However the training data is in
An analytics company wants to create a text summarization model based on the SageMaker seq2seq algorithm. However the training data is in the form of 1TB of flat files whereas seq2seq only expects RecordIO-Protobuf format. As an ML Specialist, which of the following solutions would you recommend?