1Dashboard Metrics Overview
2
3Time Saved: 127 hours/week
4Cost Reduction: 68%
5Accuracy Rate: 99.2%
6
7Active Workflows: 24
8Monthly ROI: $47,500
9        self.context_memory = []
10        self.learning_rate = model_config['lr']
11
12    def train_agent(self, training_data, business_context):
13        agent = AutoModel.from_pretrained('eucentra-base')
14        agent.fine_tune(training_data, context=business_context)
15        self.neural_network = agent
16        return {
17            'agent': agent,
18            'accuracy': agent.evaluate(training_data)
19        }
20
21    def execute_task(self, task_input):
22        if self.neural_network is None:
23            raise ValueError("Agent not initialized")
24        context = self._get_context(task_input)
25        return self.neural_network.predict(task_input, context)
26
27    def adapt_behavior(self, feedback):
28        learning_delta = self._compute_adjustment(feedback)
29        self.neural_network.update_weights(learning_delta)
30        return {'improved': True, 'confidence': 0.97}