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<!DOCTYPE html>
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    <title>SocrAItic Circle - Joel Markapudi</title>
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        <a href="index.html" class="back-link">← Back to Portfolio</a>

        <h1>SocrAItic Circle</h1>

        <div class="project-overview">
            Multi-agent LLM debate framework implementing structured adversarial interaction through three-phase cycles (preparation, rebuttal, evaluation) with theory-informed judge modules. Achieved measurable improvements in argument quality: 37% logical consistency, 16% factual accuracy, 19% rhetorical effectiveness, 44% strategic merit.
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        <div class="highlights">
            <ul>
                <li><strong>Adversarial Preparation Pipeline:</strong> Implemented invisible preparation phase enabling agents to perform evidence checking, argument mapping, and weakness anticipation before visible debate rounds, mirroring human debater research workflows with persistent memory architecture</li>

                <li><strong>Seven-Dimensional Judge Framework:</strong> Designed specialized evaluation system grounded in argumentation theory (Toulmin's Model, Pragma-Dialectical Theory, Elaboration Likelihood Model) with weighted dimensions: Logical Consistency (0.25), Factual Accuracy (0.20), Rhetorical Effectiveness (0.15), Strategic Merit (0.15), Ethical Conduct (0.10), Belief-Shift Potential (0.10), Audience Engagement (0.05)</li>

                <li><strong>YAML-Driven Orchestration:</strong> Built modular prompt management system separating debate logic from implementation, enabling rapid experimentation with different theoretical frameworks and phase-specific guidance without code modification, achieving 15-20x faster iteration cycles</li>

                <li><strong>Structured Multi-Phase Architecture:</strong> Orchestrated debate flow with preparation (strategic evidence gathering), adversarial critique mechanisms (targeted counterargument deployment), and meta-consensus evaluation aggregating diverse judge perspectives through weighted multi-dimensional optimization</li>

                <li><strong>Ollama Local Deployment:</strong> Configured local LLM infrastructure with heterogeneous model support (Mixtral, DeepSeek R1, Phi4, Llama 3.1), implementing hierarchical storage for debate histories, experiment configurations, and prompt versioning for reproducible research workflows</li>
            </ul>
        </div>

        <div class="external-links">
            <h2>Project Resources</h2>
            <a href="https://github.com/mjsushanth/Multi_Agent_LLM_Debater/blob/main/README.md" target="_blank">→ GitHub Repository</a>
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