Amaliy vazifa AI yangi LLM chiqarish bo'yicha qaror qabul qilish uchun kod yaratdi. Uni ko'rib chiq: uni shunday o'zgartirki, tahrirchi mavzuli segmentlar bo'yicha versiyalar sifatini solishtira olsin, baholashlar tarqalishini ko'rsin va kichik ma'lumotlar guruhida yomonlashish xavfini aniqlasin. import matplotlib.pyplot as plt import pandas as pd scores = pd.read_csv('model_scores.csv') summary = scores.groupby('model_version')['score'].mean() plt.bar(summary.index, summary.values) plt.title('Model sifatlari') plt.ylabel('Oʻrtacha baho') plt.show() print('Eng yaxshi versiya:', summary.idxmax()) --- import matplotlib.pyplot as plt import pandas as pd scores = pd.read_csv('model_scores.csv') stats = ( scores.groupby(["topic", "model_version"])["score"] .agg(["mean", "std", "count"]) .reset_index() ) print(stats) for topic, group in scores.groupby("topic"): group.boxplot(column="score", by="model_version") plt.title(f"Mavzu: {topic}") plt.suptitle("") plt.ylabel("Baholash") plt.show() small_groups = stats[stats["count"] < 30] print("Kichik guruhlar - xulosalar ishonchli emas:") print(small_groups)