Background
Single AI models often have perspective limitations when dealing with interdisciplinary complexity problems.MassGen's multi-intelligence body synergy mechanism is designed to address this problem.
procedure
- Model Selection:Specify combinations of models with different specialties via the -models parameter, for example:
--models gemini-1.5-pro gpt-4-turbo
Gemini is good at logical reasoning and GPT-4 is good at creative analysis - Consensus Configuration:Setting in the YAML file
consensus: 0.6, requiring at least 2 of the 3 intelligences to reach a consensus - Mission Breakdown:The system automatically splits "Analyze the impact of the new crown epidemic on the global economy" into:
- Changes in the medical industry
- Supply chain disruptions
- Telecommuting penetration rate - Validation of results:utilization
--log-level DEBUGView the intermediate reasoning process of each intelligence
advanced skill
Create custom tool scripts and integrate professional calculation tools such as Wolfram Alpha in massgen/tools.py to enhance quantitative analysis.
This answer comes from the articleMassGen: A Multi-Intelligence Collaborative Task Processing SystemThe
May not be reproduced without permission:AI productivity tools " How to achieve comprehensive multi-perspective analysis of complex problems with MassGen?
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