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Natural Language Generation (NLG)

Natural Language Generation (NLG) is a subfield of artificial intelligence and computational linguistics that focuses on producing natural language text or speech from structured data. It aims to generate coherent and meaningful text that is indistinguishable from human-written content.

Use Cases

Automated Reporting

Generating summaries and reports from data analytics.

Content Creation

Producing articles, product descriptions, and marketing copy.

Chatbots

Generating responses and dialogues in conversational agents.

Importance

Content Automation

Reduces the time and effort required for producing large volumes of text.

Personalization

Tailors generated content for specific audiences and contexts.

Scalability

Enables the creation of personalized content at scale for diverse applications.

Analogies

Natural Language Generation is like having an AI writer who creates stories and articles based on input data. Similar to how a writer transforms ideas and information into engaging narratives, NLG converts structured data into readable and coherent text.

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