What common activity do Natural Language Processing Engineers frequently engage in when processing human language data?
Answer
Fine-tuning transformer models
The Natural Language Processing (NLP) Engineer is tasked with enabling computers to meaningfully process and understand human language, dealing with tasks like text analytics, sentiment analysis, and translation. To achieve this sophisticated understanding, NLP engineers must often work extensively with large volumes of textual information, known as text corpora. A key technical activity associated with modern NLP is the process of fine-tuning transformer models—a specific class of advanced neural networks that are highly effective at understanding context and relationships within sequential data like human language.
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