企业级AI营销智能平台

# AI驱动的营销策略优化引擎
import numpy as np
from transformers import AutoTokenizer, AutoModel
from deepspeed import DeepSpeedEngine
import torch.distributed as dist

class AIMarketingOptimizer:
    def __init__(self, model_config):
        # 初始化多模型融合架构
        self.gpt4_client = OpenAIClient(model="gpt-4")
        self.wenxin_client = BaiduClient(model="wenxin-4.0")
        self.deepspeed_engine = self._init_deepspeed(model_config)
        
    def optimize_marketing_strategy(self, campaign_data):
        """基于AI的营销策略优化"""
        # 多维度数据特征提取
        features = self.extract_features(campaign_data)
        
        # AI模型推理和策略生成
        with torch.no_grad():
            strategy_embedding = self.deepspeed_engine(features)
            roi_prediction = self.predict_roi(strategy_embedding)
            
        # 多模型决策融合
        optimized_strategy = self.merge_strategies(
            roi_prediction, 
            self.gpt4_recommendation,
            self.wenxin_insights
        )
        
        return {
            'strategy': optimized_strategy,
            'predicted_roi': float(roi_prediction),
            'confidence': self.calculate_confidence(features)
        }