Past Chain-of-Thought: How Thought Choice Optimization is Advancing LLMs

A groundbreaking new method, developed by a staff of researchers from Meta, UC Berkeley, and NYU,…

Quick and Candy: Enhancing LLM Efficiency with Constrained Chain-of-Thought | by Salvatore Raieli | Aug, 2024

|LLM|PROMPT ENGINEERING|COT|REASONING| Typically few phrases are sufficient: lowering output size for growing accuracy picture created by…