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Building an Uncensored Multi-Agent AI Debate System locally with Ollama: A Step-by-Step Guide with full code.
- The article introduces a project aimed at creating an AI debate system using Ollama's local LLMs to simulate structured debates.
- The system features Affirmative Agents, Negative Agents, a Judge Agent, Debate Orchestrator, and a Debate State for analysis.
- The chosen debate topic is 'Should autonomous vehicles be implemented on a large scale within the next decade?'
- The project involves setting up the debate configuration, building the debate state machine, crafting the agents, and running the debate.
- Agents include AffirmativeAgent, NegativeAgent, JudgeAgent, and DebateOrchestrator with specific roles and behaviors.
- The article provides detailed code snippets for defining agents, setting up the debate, and running the debate simulation.
- The system allows agents to present arguments, engage in rebuttals, and concludes with a judge's analysis based on the debate history.
- The project aims to explore the potential of AI in structured reasoning, critical thinking, and educational applications.
- Future aspirations include applications in legal arguments, political debates, and educational tools.
- The article encourages extending the project by incorporating emotional scoring, diverse AI models, and graphical user interfaces.
- Overall, the project showcases the power of AI in dynamic reasoning and structured debate environments.
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