NLP, Llm, Prompt Engineering, Chatbots.
evaluation['text'].split('\n') for row in evaluation_text: metric_name = row.split(':')[0].strip() value = int(row.split(':')[1].strip()) if metric_name not in metrics: metrics[metric_name] = [] metrics[metric_name].append(value) As you may have noticed, we are storing all the metrics in an array,