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README.md
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## Table of Contents
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1. [Architecture Overview](#architecture-overview)
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---
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└► LLM with CoT context → User
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```
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### Key Design Principle
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> **Correctness-first:** For mathematics, the symbolic engine computes the exact answer *before* the LLM is called. The LLM's only task is to explain the working — it cannot invent a wrong answer.
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## Table of Contents
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1. [Architecture Overview](#architecture-overview)
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2. [Benchmark test & Evaluation experiments](#Benchmark-test-&-Evaluation-experiments)
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3. [Components](#components)
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4. [Advanced Math Engine](#advanced-math-engine)
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5. [Reasoning Engine](#reasoning-engine)
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6. [Getting Started](#getting-started)
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7. [Usage Examples](#usage-examples)
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8. [Commands](#commands)
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9. [Design Principles](#design-principles)
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10. [File Structure](#file-structure)
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11. [Technical Details](#technical-details)
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12. [Links](#link)
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---
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└► LLM with CoT context → User
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```
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## Benchmark test & Evaluation experiments
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<img src="https://raw.githubusercontent.com/AnveshAI/AnveshAI-Edge/refs/heads/main/diagram/download%20(1).png">
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<img src="https://raw.githubusercontent.com/AnveshAI/AnveshAI-Edge/refs/heads/main/diagram/download.png">
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### Key Design Principle
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> **Correctness-first:** For mathematics, the symbolic engine computes the exact answer *before* the LLM is called. The LLM's only task is to explain the working — it cannot invent a wrong answer.
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