How do you simplify NLP models and systems?
Natural language processing (NLP) is a branch of artificial intelligence (AI) that deals with the interaction between computers and human languages. NLP models and systems enable various applications such as machine translation, text summarization, sentiment analysis, chatbots, and more. However, developing and deploying NLP models and systems can be challenging due to their complexity, size, and resource requirements. How do you simplify NLP models and systems to make them more efficient, robust, and accessible? Here are some tips and techniques that you can use.
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Lakshmanan Sethu Sankaranarayanan?LinkedIn Top AI Voice | Helping Customers with Google Cloud AI/ML,Data Solutions | Published Author | Speaker
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Peiru TeoCEO @ KeyReply | Expert Guidance for the C-Suite on AI Transformation | Proven to Improve your AI Performance
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Rashmi N.Machine Learning at Patchstack | Research Affiliate @ MIT CSAIL & University of San Francisco | International Tech…