What is Natural Language Processing?
“You can do fine-tuning of the model using your own data to make it a better fit for you,” Jardine said. Sequence to sequence models are a very recent addition to the family of models used in NLP. A sequence to sequence (or seq2seq) model takes an entire sentence or document as input (as in a document classifier) but it produces a sentence or some other sequence (for example, a computer program) as output. But to automate these processes and deliver accurate responses, you’ll need machine learning. Machine learning is the process of applying algorithms that teach machines how to automatically learn and improve from experience without being explicitly programmed.