What is Natural Language Processing?

Full Article

Natural Language Processing (NLP) is a crucial branch of artificial intelligence that enables computers to understand and generate human language. It combines computational linguistics with machine learning, allowing for advancements in AI that have transformed how machines interact with human communication. The rise of Large Language Models (LLMs) like OpenAI's ChatGPT and Google's BERT has significantly enhanced NLP capabilities, enabling machines to engage in more sophisticated conversations.

Businesses should prioritize NLP as it automates workflows and extracts insights from unstructured text data. Applications of NLP include customer support chatbots, sentiment analysis, and document processing, which improve efficiency and customer engagement. The integration of LLMs allows for more nuanced interactions, making customer service more responsive and personalized.

• NLP enables machines to understand and generate human language effectively.

• LLMs like ChatGPT are driving advancements in NLP capabilities.

Key AI Terms Mentioned in this Article

Natural Language Processing (NLP)

NLP is a branch of AI focused on enabling computers to understand and generate human language.

Large Language Models (LLMs)

LLMs are advanced AI models that process vast amounts of text data to understand context and nuance.

Natural Language Understanding (NLU)

NLU analyzes input to extract meaning and intent, crucial for effective human-computer interaction.

Companies Mentioned in this Article

Epicor

Epicor focuses on innovation in business operations through advanced AI technologies like NLP.

OpenAI

OpenAI is known for developing ChatGPT, a leading LLM that enhances NLP applications.

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