handbook_multi_llm_agents

What problem does it solve?

This Skill provides a comprehensive guide to implementing advanced Multi-LLM Agent Systems research, streamlining the process of orchestrating multiple AI agents for complex tasks.

Core Features & Use Cases

• Agent Orchestration: Learn to use Mirascope for managing and coordinating multiple LLM agents.
• Dataset Selection: Understand how to choose appropriate HuggingFace datasets for agent evaluation.
• Metric Computation: Implement robust evaluation using HuggingFace's evaluate library.
• Use Case: You are building a research project that requires comparing different multi-agent strategies for solving math problems. This Skill will guide you through selecting a math dataset (like GSM8K), implementing various agent patterns (e.g., Reasoning + Verification), and evaluating their performance using exact match metrics.

Quick Start

Use the handbook_multi_llm_agents skill to learn how to implement a multi-agent system for math problems using Mirascope and evaluate it with HuggingFace's exact_match metric.