In the past few years, the AI and ML industry has witnessed a meteoric rise in the development & application of the NLP systems as researchers have been able to implement NLP practices in highly flexible and task-agnostic ways for downstream transferring tasks.
Initially, it was the single-layer representations that used word vectors, and were then fed to the task-specific architecture. Next, it was the RNN architecture that used multi-layer representations & contextual state to form better…
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