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Fix issues with model outputs leading to wrong comparision#2

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uppusaikiran wants to merge 1 commit intovikvang:mainfrom
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Fix issues with model outputs leading to wrong comparision#2
uppusaikiran wants to merge 1 commit intovikvang:mainfrom
uppusaikiran:main

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Fix: Standardize AI Model Response Formats to Eliminate False Disagreements
Problem
AI models were providing semantically equivalent but textually different answers, causing the system to incorrectly report disagreements. For example:
GPT4: "Quarterly"
SONAR: "4 times a year"
SONAR_PRO: "4"
All answers are correct but formatted differently, leading to false "❌ All models give different answers" results.
Solution
Implemented a two-pronged approach to ensure consistent response formatting:

  1. Enhanced Prompt Instructions (Primary Fix)
  2. Enhanced Semantic Normalization (Fallback)

Files Changed
ai/gpt4.py - Enhanced prompt instructions
ai/perplexity.py - Enhanced prompt instructions
ai/gemini.py - Enhanced prompt instructions
core/utils.py - Advanced semantic normalization

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