NLG Insights | Sumble

What is NLG?

Natural Language Generation (NLG) is a subfield of artificial intelligence that focuses on transforming structured data into human-readable text. It's commonly used for tasks such as report generation, content creation, chatbots, and data summarization, making complex information more accessible and understandable.

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What other technologies are related to NLG?

NLG Competitor Technologies

Cohere

Cohere offers large language models and APIs that can be used for text generation, competing directly with other NLG solutions.

mentioned alongside NLG in 11% (65) of relevant job posts

Llama

Llama is a large language model from Meta that directly competes as an alternative solution for generating text.

mentioned alongside NLG in 1% (80) of relevant job posts

GPT-4

GPT-4 is a large language model that is used for text generation and is a direct competitor to other NLG technologies.

mentioned alongside NLG in 1% (59) of relevant job posts

LLMs

Large Language Models are the foundation for many NLG systems, acting as a competitor.

mentioned alongside NLG in 0% (168) of relevant job posts

Generative AI

Generative AI is a broad category that includes NLG models, acting as a competitor to other specific NLG technologies.

mentioned alongside NLG in 0% (114) of relevant job posts

OpenAI

OpenAI develops large language models and APIs that perform NLG, thus competing directly.

mentioned alongside NLG in 0% (71) of relevant job posts

NLG Complementary Technologies

NLU

Natural Language Understanding (NLU) is complementary as it's a crucial component for understanding the input text that NLG then generates a response for.

mentioned alongside NLG in 14% (326) of relevant job posts

NLP

Natural Language Processing (NLP) is the overarching field that includes both NLU and NLG, making it complementary.

mentioned alongside NLG in 1% (714) of relevant job posts

Rasa

Rasa is an open-source conversational AI framework that can use NLG for generating responses in chatbots.

mentioned alongside NLG in 4% (58) of relevant job posts