2 items with this tag.
This paper establishes a structured understanding of prompts, by assembling a taxonomy of prompting techniques and analyzing their use.
The primary objective of this research is to enhance the capabilities of Large Language Model (LLMs) by leveraging the collective strengths of multiple models through a Mixture-of-Agents (MoA) approach.