Studying the way LLMs behave to different prompts (or different ways of fine-tuning for a set of prompts) is valuable science. Some of the most interesting pap

Studying the way LLMs behave to different prompts (or different ways of fine-tuning for a set of prompts) is valuable science. Some of the most interesting papers published this year ("Automatic Multi-Step Reasoning and Tool-Use") compare prompt strategies across a variety of tasks. The results are fascinating, findings are applicable and invite further research in the area of "prompt selection" or "tool selection."