🗣️ Using google voice recognition API to predict the "For the motion" and "Against the motion" using sentiment analysis 💬 📢
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Updated
Oct 5, 2021 - Hack
🗣️ Using google voice recognition API to predict the "For the motion" and "Against the motion" using sentiment analysis 💬 📢
15 Shinchan character agents that debate, plan, execute, and learn. Stop doing everything yourself - orchestrate a team.
Multi-agent AI debating platform built with Go, HTMX, and Tailwind CSS. Orchestrate automated, structured arguments between multiple LLMs.
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Bot that blasts pairings from Tabroom to a Discord server.
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Lightweight Go proxy that runs multi-LLM debates until consensus is reached. OpenAI-compatible API with presets (fast/balanced/paranoid).
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Upload a book. Change one thing. Watch AI versions of the characters argue about an alternate ending.
AI-powered multi-agent system for structured debate and synthesis of complex documents. Eliminates bias through adversarial reasoning - independent agents argue for/against extracted factors to generate balanced, transparent reports. Built with FastAPI, React, and Google Gemini.
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An admittedly naive proposal to design constructive debates.
✨Multi-agent AI debate system: In the forge of AI debate, insights are tempered.
A research study on when multi-agent LLM debate is worth its cost. XGBoost router achieves 91.8% accuracy at $0.0016/query across 5 benchmarks.
Multi-Agent Debate System built with LangGraph and Google Gemini API. Simulates structured debates between two agents (Scientist and Philosopher) with automated judgment and logging. Demo video of the project:
API for storing and searching debate cards/evidence (WIP)
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