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thakurvivek / Liar-Ai.md
Created February 8, 2025 23:49 — forked from ruvnet/Liar-Ai.md
Liar Ai: Multi-Modal Lie Detection System

Multi-Modal Lie Detection System using an Agentic ReAct Approach: Step-by-Step Tutorial

Author: rUv
Created by: rUv, cause he could

WTF? The world's most powerful lie dector.

🤯 Zoom calls will never be the same. I think I might have just created the world’s most powerful lie detector tutorial using deep research.

@thakurvivek
thakurvivek / smart-llm.md
Created December 6, 2024 04:13 — forked from ruvnet/smart-llm.md
A cost-optimized proxy for routing between GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro using LiteLLM.
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thakurvivek / Mor.md
Created December 6, 2024 04:13 — forked from ruvnet/Mor.md
Mixture of Reflection (MoR) Model

Mixture of Reflection (MoR) Model: Detailed Implementation ## Forward: The Next Generation of AI Models

Reflection-based AI models are poised to redefine how AI is utilized, shifting from generating rapid, surface-level responses to producing thoughtful, in-depth analyses. These models emphasize self-evaluation and iterative improvement, leveraging internal feedback loops to refine outputs and enhance performance over multiple cycles.

This year has seen a marked shift toward reflection models, which differ from earlier Mixture of Experts (MoE) architectures. While MoE models efficiently handle specific tasks using specialized subnetworks, reflection-based models integrate iterative reasoning, enabling them to "think" before delivering results. This approach allows for evaluating and correcting reasoning pathways, ultimately improving performance through self-critique.

The proposed Mixture of Reflection (MoR) architecture builds on this foundation by combining the strengths of MoE with reflection-based re

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thakurvivek / Auto-fixer.md
Created November 16, 2024 02:32 — forked from ruvnet/Auto-fixer.md

Auto-Fixer Script

Introduction

The Auto-Fixer script is a powerful tool designed to automatically test and fix React components in a project. It leverages the London school of Test-Driven Development (TDD) and uses an AI-powered code assistant to iteratively improve failing tests and component code.

Features

  • Automatically runs tests for specified React components
  • Analyzes test failures and error messages