Note: This project is currently deprecated.
Some features may be non-functional as focus shifts to FunnelLM (Coming Soon).
Consensus
Query multiple language models in parallel and compare their outputs, with a synthesized consensus response for faster model evaluation.
Explore the Project
Project Overview
Consensus is a multi-LLM evaluation platform for comparing concurrent model outputs. The tool executes simultaneous queries across Gemini variants, synthesizing responses to resolve model discrepancies and identify common insights.
Key Features
Orchestrated Queries: Simultaneous execution across Pro, Flash, and Experimental models.
Comparative Analysis: Side-by-side output comparison with unified Markdown support.
Automated Consensus: Semantic synthesis of model outputs into a unified answer.
Takeaways
The technical focus was on coordinating asynchronous API calls and managing parallel model state transitions in a React frontend. Implementing a meta-reasoning layer demonstrated application-level model ensembling and semantic aggregation patterns.