4 items with this tag.
Curriculum to learn Advanced NLP to Agentic AI
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.
Advanced AI systems trained on vast amounts of text data to understand and generate human-like language, enabling them to perform tasks such as translation, summarization, and conversation.