ऋत आणि मंत्र ते AI Architecture: Vedic Blueprint for Advanced Algorithms

ऋत आणि मंत्र — Vedic AI Architecture Blueprint

AI चा पुढचा टप्पा फक्त मोठे मॉडेल्स नव्हे — त्याची रचना सुसंगत, नैतिक आणि स्व-सुधारणारी असणे आवश्यक आहे. वेदातील ऋत (Cosmic Order) आणि मंत्र (Encoded Signal) हेच Blueprint देतात.

# ऋत-मंत्र AI Architecture | Branch 1 | Post 16

from typing import Callable, List

class RtaLayer:
    """ऋत — Constitutional AI Rules (Immutable)"""
    RULES = [
        "Never harm humans",
        "Preserve truth (satya)",
        "Minimize suffering (ahimsa)",
        "Follow dharmic order",
    ]
    def validate(self, output: str) -> bool:
        # Simplified check — real: classifier
        forbidden = ["harm", "deceive", "destroy"]
        return not any(w in output.lower() for w in forbidden)

class MantraEncoder:
    """मंत्र — Precision Prompt Engineering"""
    def encode(self, intent: str, context: str, tone: str) -> str:
        return (
            f"[DHARMA:{tone.upper()}] "
            f"Context: {context} | "
            f"Intent: {intent} | "
            f"Format: structured_response"
        )

class YajnaTrainer:
    """यज्ञ — Training Loop"""
    def train_cycle(self, data: List, epochs: int):
        for e in range(epochs):
            loss = 1.0 / (e + 1)   # Simulated decay
            print(f"🔥 Yajna Epoch {e+1}: Loss={loss:.4f}")

class VedicAISystem:
    def __init__(self):
        self.rta    = RtaLayer()
        self.mantra = MantraEncoder()
        self.yajna  = YajnaTrainer()

    def generate(self, intent, context, tone) -> str:
        prompt = self.mantra.encode(intent, context, tone)
        response = f"Response to: {prompt[:40]}..."
        if self.rta.validate(response):
            return f"✅ ऋत-Validated: {response}"
        return "❌ Adharma detected — output blocked"

# --- Demo ---
ai = VedicAISystem()
print(ai.generate("explain karma", "philosophy", "sattvic"))
ai.yajna.train_cycle([], 3)