Explore the concept of Language Models teaching themselves to think before speaking in Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking. The focus is on generating internal rationales to elucidate future text. Access Full Paper

• Quiet-STaR is an evolution of the constrained Self-Taught Reasoner (STaR).
• It features the generation of rationales at each token to clarify upcoming text.
• Rationales aid the model in predicting complex tokens and direct question answering.
• Zero-shot improvements seen on benchmarks desiderate no task-specific fine-tuning.

This research has vast implications for making AI more scalable and reasoning-driven, enabling language models to approach human-like understanding and response generation.