Natural Language Understanding in Practice with Examples

Learn how large language models transform the industry and society from the best practices and examples.

Natural language understanding (NLU) is a big help to any business, wherein organisations collect written texts—from patient records, legal documents, financial documents, websites, emails, code, and more, and leveraging such unstructured data and improving customer satisfaction are crucial to staying competitive.

Large language models (LLMs),  like OpenAI’s GPT-3 and the third-generation Generative Pretrained Transformer, represent a major advancement in AI, promising better computer and human interactions, their size, complexity, and capabilities grow, performing specialized tasks such as writing essays, answering questions, summarizing texts, generating computer codes, and translating languages. 

Enterprises can greatly benefit from LLMs because they can perform tasks with the help of Natural Language Processing (NLP), tailored to understand an enterprise’s unique vocabulary, their customer relationships, and the datasets on which their business runs.

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