# AI Solutions Framework
class AIEngine:
    def __init__(self):
        self.models = {
            'nlp': ['BERT', 'GPT', 'T5'],
            'vision': ['CNN', 'YOLO', 'ResNet'],
            'prediction': ['XGBoost', 'LSTM', 'RandomForest']
        }
        self.accuracy = 0.95
        self.processing_speed = '10x'
        
    @staticmethod
    def optimize_model(model_type: str):
        return {
            'performance': 'Enhanced',
            'training_time': 'Reduced',
            'accuracy': 'Improved'
        }
    
    async def process_data(self, data):
        result = await self.analyze(data)
        return self.enhance_output(result)

# Initialize AI Engine
ai_engine = AIEngine()
model = ai_engine.optimize_model('nlp')