Controllable Neural Text Generation

📰 Lilian Weng's Blog

Controllable neural text generation enables steering language models to produce content with desired attributes

advanced Published 2 Jan 2021
Action Steps
  1. Explore guided or learned decoding strategies for controllable text generation
  2. Investigate smart prompt design techniques to influence language model outputs
  3. Fine-tune language models using various methods to achieve desired attributes
Who Needs to Know This

NLP researchers and engineers benefit from controllable text generation to customize language model outputs, while product managers can leverage this technique to develop more targeted content generation applications

Key Insight

💡 Controllable text generation enables language models to produce customized content with desired attributes

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🤖 Control language model outputs with controllable neural text generation!
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