{"id":53732,"date":"2025-02-16T14:01:03","date_gmt":"2025-02-16T06:01:03","guid":{"rendered":"https:\/\/fwq.ai\/blog\/53732\/"},"modified":"2025-02-16T14:01:03","modified_gmt":"2025-02-16T06:01:03","slug":"deepseek-r1ml%e6%b7%b7%e5%90%88%e6%ac%ba%e8%af%88%e6%a3%80%e6%b5%8b","status":"publish","type":"post","link":"https:\/\/fwq.ai\/blog\/53732\/","title":{"rendered":"DeepSeek-R1+ML\u6df7\u5408\u6b3a\u8bc8\u68c0\u6d4b"},"content":{"rendered":"<p>\u5728\u6570\u5b57\u4ea4\u6613\u5360\u4e3b\u5bfc\u5730\u4f4d\u7684\u65f6\u4ee3\uff0c\u6b3a\u8bc8\u5df2\u6210\u4e3a\u4e00\u79cd\u590d\u6742\u4e14\u65e0\u5904\u4e0d\u5728\u7684\u5a01\u80c1\u3002\u52302026\u5e74\uff0c\uff0c\u4ec5\u5728\u7f8e\u56fd\uff0c\u6bcf14\u79d2\u5c31\u53d1\u751f\u4e00\u8d77\u8eab\u4efd\u76d7\u7a83\u6848\u3002\u968f\u7740\u72af\u7f6a\u5206\u5b50\u5229\u7528\u4eba\u5de5\u667a\u80fd\uff08AI\uff09\u53d1\u8d77\u524d\u6240\u672a\u6709\u7684\u653b\u51fb\uff0c\u4f01\u4e1a\u9762\u4e34\u4e00\u4e2a\u7d27\u8feb\u7684\u95ee\u9898\uff1a<em>\u4ed6\u4eec\u5982\u4f55\u624d\u80fd\u5728\u8fd9\u573a\u9ad8\u98ce\u9669\u7ade\u8d5b\u4e2d\u4fdd\u6301\u9886\u5148\uff1f<\/em><\/p>\n<p>\u4eca\u5929\uff0c\u6211\u4eec\u5c06\u63a2\u8ba8\u5f53\u914d\u5907\u4f20\u7edf\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\u548c\u63a8\u7406\u5927\u578b\u8bed\u8a00\u6a21\u578b\u5f15\u64ce\u65f6\uff0c<strong>AI\u4ee3\u7406<\/strong>\u5982\u4f55\u4f7f\u6b3a\u8bc8\u68c0\u6d4b\u66f4\u52a0\u53ef\u89e3\u91ca\u548c\u7a33\u5065\u3002<\/p>\n<blockquote><p>\n  \u6b3a\u8bc8\u6311\u6218\u7684\u65e5\u76ca\u589e\u957f\n<\/p><\/blockquote>\n<p>\u8bf7\u8003\u8651\u8fd9\u4e9b\u60ca\u4eba\u7684\u7edf\u8ba1\u6570\u636e\uff1a<\/p>\n<ul>\n<li>\u3002<\/li>\n<li>\u3002<\/li>\n<li><strong>\u6df1\u5ea6\u4f2a\u9020\u8bc8\u9a97<\/strong>\uff0c\u4f7f\u7528\u5408\u6210\u58f0\u97f3\u6a21\u4effCEO\u6388\u6743\u6b3a\u8bc8\u6027\u8f6c\u8d26\u3002<\/li>\n<\/ul>\n<p>\u8fd9\u662f\u4e00\u573a\u519b\u5907\u7ade\u8d5b\uff1a\u6b3a\u8bc8\u8005\u6b63\u5728\u5229\u7528AI\u9a71\u52a8\u7684\u5361\u6d4b\u8bd5\u6269\u5927\u4e1a\u52a1\u89c4\u6a21\uff0c\u9003\u907f\u68c0\u6d4b\uff0c\u5e76\u5229\u7528\u96f6\u65e5\u6f0f\u6d1e\uff0c\u800c\u9632\u5fa1\u8005\uff08\u597d\u4eba\uff09\u9700\u8981\u540c\u6837\u6216\u66f4\u597d\u7684\u81ea\u9002\u5e94\u5de5\u5177\u6765\u4fdd\u6301\u9886\u5148\u4e00\u6b65\u3002<\/p>\n<p>\u95ee\u9898\u5728\u4e8e\uff0c\u6b3a\u8bc8\u8005\u6b63\u5728\u4ee5\u6bd4\u673a\u6784\u66f4\u5feb\u7684\u901f\u5ea6\u8fdb\u884c\u8c03\u6574\uff0c\u800c\u9057\u7559\u7cfb\u7edf\u6b63\u52aa\u529b\u8ddf\u4e0a\u6b65\u4f10\u3002\u8fd9\u4e9b\u7cfb\u7edf\u7684\u4e3b\u9650\u5236\u662f\uff1a<\/p>\n<ul>\n<li><strong>\u57fa\u4e8e\u89c4\u5219\u7684\u5f15\u64ce<\/strong>\uff1a\u50f5\u5316\u7684\u201c\u5982\u679c-\u5219\u201d\u903b\u8f91\u65e0\u6cd5\u5e94\u5bf9\u65b0\u9896\u7684\u653b\u51fb\u6a21\u5f0f\u3002<\/li>\n<li><strong>\u673a\u5668\u5b66\u4e60<\/strong>\uff1a\u867d\u7136ML\u6a21\u578b\u64c5\u957f\u68c0\u6d4b\u5df2\u77e5\u7684\u6b3a\u8bc8\u6a21\u5f0f\uff0c\u4f46\u5b83\u4eec\u662f\u201c\u9ed1\u76d2\u201d\uff0c\u65e0\u6cd5\u89e3\u91ca\u51b3\u7b56\u3002\u66f4\u7cdf\u7cd5\u7684\u662f\uff0c\u5b83\u4eec\u5728<strong>\u6570\u636e\u6f02\u79fb<\/strong>\u2014\u2014\u4ea4\u6613\u884c\u4e3a\u7684\u53d8\u5316\u4f7f\u5f97\u5386\u53f2\u6570\u636e\u8fc7\u65f6\u65f6\u8868\u73b0\u4e0d\u4f73\u3002<\/li>\n<\/ul>\n<h2>1\u3001\u81ea\u4e3bAI\u7684\u5174\u8d77<\/h2>\n<p>AI\u4ee3\u7406\u662f\u80fd\u591f<strong>\u63a8\u7406<\/strong>\u3001<strong>\u5b66\u4e60<\/strong>\u548c<strong>\u884c\u52a8<\/strong>\u7684\u81ea\u4e3b\u7cfb\u7edf\uff0c\u4f7f\u7528API\u548c\u6570\u636e\u5e93\u7b49\u5de5\u5177\u3002\u4e0e\u9759\u6001ML\u6a21\u578b\u4e0d\u540c\uff0c\u5b83\u4eec\u53ef\u4ee5\uff1a<\/p>\n<ul>\n<li><strong>\u5206\u6790\u4e0a\u4e0b\u6587<\/strong>\uff1a\u4ea4\u53c9\u5f15\u7528\u4ea4\u6613\u4e0e\u7528\u6237\u5386\u53f2\u8bb0\u5f55\u3001\u4f4d\u7f6e\u548c\u5e02\u573a\u8d8b\u52bf\u3002<\/li>\n<li><strong>\u81ea\u6211\u6539\u8fdb<\/strong>\uff1a\u4f7f\u7528\u5f3a\u5316\u5b66\u4e60\uff08RL\uff09\u6765\u9002\u5e94\u65b0\u5a01\u80c1\u3002<\/li>\n<li><strong>\u89e3\u91ca\u51b3\u7b56<\/strong>\uff1a\u751f\u6210\u6613\u4e8e\u7406\u89e3\u7684\u62a5\u544a\uff08\u4f8b\u5982\uff0c\u201c\u51cc\u66682\u70b9\u5728\u7528\u6237\u5bb634\u82f1\u91cc\u5916\u7684\u57ce\u5e02\u82b1\u8d39316\u7f8e\u5143\u8d2d\u4e70\u6742\u8d27\u662f\u53ef\u7591\u7684\u201d\uff09\u3002<\/li>\n<li><strong>\u884c\u4e3a\u5206\u6790<\/strong>\uff1a\u68c0\u6d4b\u5fae\u5999\u7684\u7ea2\u65d7\uff08\u4f8b\u5982\uff0c\u4ed3\u4fc3\u7684\u7ed3\u8d26\u6d41\u7a0b\uff0c\u8d26\u5355\u5730\u5740\u4e0e\u53d1\u8d27\u5730\u5740\u4e0d\u5339\u914d\uff09\u3002<\/li>\n<\/ul>\n<p>\u5bf9\u4e8e\u672c\u6587\uff0c\u6211\u4eec\u5c06\u4e3a\u4ee3\u7406\u914d\u5907\u4e00\u4e2a\u4f20\u7edf\u7684ML\u6a21\u578b\u4ee5\u53ca\u4e00\u4e2a\u63a8\u7406\u5f15\u64ce\uff0c\u4ee5\u4fbf\u66f4\u597d\u5730\u89e3\u91ca\u4ea4\u6613\u3002<\/p>\n<p>  \u4ec0\u4e48\u662fAI\u4ee3\u7406 <\/p>\n<h2>2\u3001\u8bad\u7ec3\u673a\u5668\u5b66\u4e60\u6a21\u578b<\/h2>\n<p>\u4e3a\u4e86\u8bad\u7ec3\u6211\u4eec\u7684ML\u6a21\u578b\uff0c\u6211\u4eec\u5c06\u4f7f\u7528Kaggle\u4e0a\u516c\u5f00\u7684\u3002\u8be5\u6570\u636e\u96c6\u5305\u542b\u8d85\u8fc7\u4e00\u767e\u4e07\u7b14\u6b3a\u8bc8\u548c\u975e\u6b3a\u8bc8\u4fe1\u7528\u5361\u4ea4\u6613\u3002<\/p>\n<p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u7b80\u8981\u89e3\u91ca\u8bad\u7ec3ML\u6a21\u578b\u7684\u6b65\u9aa4\uff1a<\/p>\n<ul>\n<li>\u7b2c\u4e00\u6b65\u662f\u5220\u9664\u4efb\u4f55\u4e0d\u5fc5\u8981\u7684\u7279\u5f81\uff0c\u5982\u540d\u5b57\u3001\u59d3\u6c0f\u3001\u51fa\u751f\u65e5\u671f\u7b49\u3002<\/li>\n<li>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u6807\u8bb0\u5e76\u7f16\u7801\u6587\u672c\u7279\u5f81\uff0c\u5982\u5546\u6237\u540d\u79f0\u3001\u7c7b\u522b\u548c\u8857\u9053\u3002<\/li>\n<li>\u6700\u540e\uff0c\u6211\u4eec\u7f29\u653e\u7279\u5f81\uff0c\u5b9a\u4e49\u9884\u6d4b\u6807\u7b7e\uff08is_fraud=0\u62161\uff09\uff0c\u5c06\u6570\u636e\u62c6\u5206\u4e3a\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6\uff0c\u5e76\u8bad\u7ec3\u673a\u5668\u5b66\u4e60\u6a21\u578b\u5b64\u7acb\u68ee\u6797\u3002<\/li>\n<\/ul>\n<p>\u786e\u4fdd\u5728\u6700\u540e\u4fdd\u5b58\u6a21\u578b\uff0c\u4ee5\u4fbf\u7a0d\u540e\u7531\u6211\u4eec\u7684\u4ee3\u7406\u4f5c\u4e3a\u5de5\u5177\u4f7f\u7528\u3002<\/p>\n<pre><code># \u5bfc\u5165\u5fc5\u8981\u7684\u5e93  \nimport pandas as pd  \nfrom sklearn.model_selection import train_test_split  \nfrom sklearn.preprocessing import StandardScaler  \nfrom sklearn.preprocessing import LabelEncoder  \nimport joblib  \nfrom sklearn.metrics import classification_report  \n  \n# \u4fdd\u5b58\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u5230\u6587\u4ef6  \n  \n# \u52a0\u8f7d\u6570\u636e\u96c6  \ndata = pd.read_csv('Fraud\/fraudTrain.csv')  \ndata.head()  \ndata.drop_duplicates()  \n# \u5220\u9664\u4efb\u4f55\u65e0\u7528\u7684\u5217\uff08\u4f8b\u5982\uff0c\u4ea4\u6613ID\uff09  \ndata = data.drop(columns=[\"Unnamed: 0\", \"first\", \"last\", \"state\", \"city_pop\", \"job\", \"dob\"])  \n# \u5bf9\u5206\u7c7b\u53d8\u91cf\u8fdb\u884c\u7f16\u7801  \n# \u6807\u7b7e\u7f16\u7801\u4e8c\u8fdb\u5236\u5206\u7c7b\u7279\u5f81\uff08\u4f8b\u5982\uff0c\u6027\u522b\uff09  \n  \nencoder = LabelEncoder()  \ndata[\"merchant\"] = encoder.fit_transform(data[\"merchant\"])  \ndata[\"category\"] = encoder.fit_transform(data[\"category\"])  \ndata[\"street\"] = encoder.fit_transform(data[\"street\"])  \ndata[\"trans_num\"] = encoder.fit_transform(data[\"trans_num\"])  \ndata[\"city\"] = encoder.fit_transform(data[\"city\"])  \ndata[\"gender\"] = encoder.fit_transform(data[\"gender\"])  \ndata[\"trans_date_trans_time\"] = encoder.fit_transform(data[\"trans_date_trans_time\"])  \n  \n  \n# \u4fdd\u5b58\u7f16\u7801\u5668\uff08\u8fd9\u5c06\u5728\u9884\u6d4b\u671f\u95f4\u5141\u8bb8\u52a0\u8f7d\u5b83\uff09  \njoblib.dump(encoder, 'label_encoder.pkl')  \n  \n# \u5c06\u7279\u5f81\uff08X\uff09\u548c\u76ee\u6807\u53d8\u91cf\uff08y\uff09\u5206\u5f00  \nX = data.drop(columns=['is_fraud'])  \ny = data['is_fraud']  \n  \n# \u5c06\u6570\u636e\u62c6\u5206\u4e3a\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6\uff0870%\u8bad\u7ec3\uff0c30%\u6d4b\u8bd5\uff09  \nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)  \n  \n# \u7f29\u653e\u6570\u503c\u7279\u5f81  \nscaler = StandardScaler()  \nX_train_scaled = scaler.fit_transform(X_train)  \njoblib.dump(scaler, 'scaler.pkl')  \n  \nX_test_scaled = scaler.transform(X_test)  \n  \nfrom sklearn.ensemble import IsolationForest  \n  \n# \u8bad\u7ec3\u5b64\u7acb\u68ee\u6797\u6a21\u578b\uff08\u5047\u8bbe1%\u7684\u6b3a\u8bc8\u6848\u4f8b\uff0c\u56e0\u6b64\u8bbe\u7f6e\u6c61\u67d3\u7387\uff09  \nmodel = IsolationForest(contamination=0.03, random_state=42)  \nmodel.fit(X_train_scaled)  \n# \u5728\u6d4b\u8bd5\u96c6\u4e0a\u8fdb\u884c\u9884\u6d4b  \n# \u5b64\u7acb\u68ee\u6797\u8fd4\u56de-1\u8868\u793a\u5f02\u5e38\uff08\u6b3a\u8bc8\uff09\uff0c1\u8868\u793a\u6b63\u5e38\u4ea4\u6613  \ny_pred = model.predict(X_test_scaled)  \n  \n# \u8f6c\u6362\u9884\u6d4b\uff08-1\u8868\u793a\u6b3a\u8bc8 -&gt; 1\uff0c1\u8868\u793a\u975e\u6b3a\u8bc8 -&gt; 0\uff09  \ny_pred = [1 if x == -1 else 0 for x in y_pred]  \nprint(classification_report(y_test, y_pred))  \n  \njoblib.dump(model, 'fraud_model.pkl')\n<\/code><\/pre>\n<p>\u8ba9\u6211\u4eec\u6d4b\u8bd5\u4e00\u4e0b\u6a21\u578b\u5728\u4e00\u4e2a\u6837\u672c\u4ea4\u6613\u4e0a\u7684\u6548\u679c\uff1a<\/p>\n<pre><code># \u5bfc\u5165\u5fc5\u8981\u7684\u5e93  \nimport pandas as pd  \nfrom sklearn.model_selection import train_test_split  \nfrom sklearn.preprocessing import StandardScaler  \nfrom sklearn.preprocessing import LabelEncoder  \nimport joblib  \nimport json  \nfrom sklearn.metrics import classification_report  \n  \n  \n# \u4ece\u6587\u4ef6\u52a0\u8f7d\u4fdd\u5b58\u7684\u6a21\u578b  \nmodel = joblib.load('fraud_model.pkl')  \n# \u52a0\u8f7d\u6570\u636e\u96c6  \n  \ntransaction = '''{  \n        \"trans_date_trans_time\": \"2019-12-09 03:23:21\",  \n        \"cc_num\": 2266735643685262,  \n        \"merchant\": \"Koepp-Parker\",  \n        \"category\": \"grocery_pos\",  \n        \"amt\": 316.82,  \n        \"first\": \"Carlos\",  \n        \"last\": \"Chung\",  \n        \"gender\": \"M\",  \n        \"street\": \"8957 Russell Key\",  \n        \"city\": \"Grant\",  \n        \"state\": \"AL\",  \n        \"zip\": 35747,  \n        \"lat\": 34.4959,  \n        \"long\": -86.259,  \n        \"city_pop\": 5901,  \n        \"job\": \"Curator\",  \n        \"dob\": \"1972-07-25\",  \n        \"trans_num\": \"1e787b206a1a9154a5f397dfaa6f6b40\",  \n        \"unix_time\": 1355023401,  \n        \"merch_lat\": 35.177042,  \n        \"merch_long\": -86.942305  \n    }  \n    '''  \n  \n# \u5c06JSON\u5b57\u7b26\u4e32\u8f6c\u6362\u4e3a\u5b57\u5178  \ntransaction_data = json.loads(transaction)  \n  \ntransaction_data = {key: value for key, value in transaction_data.items() if key not in [\"first\", \"last\", \"state\", \"city_pop\", \"job\", \"dob\",\"is_fraud\"]}  \n  \ndf = pd.DataFrame([transaction_data])  \n  \n# \u5e94\u7528\u4e0e\u8bad\u7ec3\u671f\u95f4\u76f8\u540c\u7684\u9884\u5904\u7406\uff1a  \nencoder = joblib.load('label_encoder.pkl')  \n#encoder = LabelEncoder()  \n# \u5bf9\u5206\u7c7b\u53d8\u91cf\u8fdb\u884c\u7f16\u7801  \ndf[\"merchant\"] = encoder.fit_transform(df[\"merchant\"])  \ndf[\"category\"] = encoder.fit_transform(df[\"category\"])  \ndf[\"street\"] = encoder.fit_transform(df[\"street\"])  \ndf[\"trans_num\"] = encoder.fit_transform(df[\"trans_num\"])  \ndf[\"city\"] = encoder.fit_transform(df[\"city\"])  \ndf[\"gender\"] = encoder.fit_transform(df[\"gender\"])  \ndf[\"trans_date_trans_time\"] = encoder.fit_transform(df[\"trans_date_trans_time\"])  \n  \n  \nscaler = joblib.load('scaler.pkl')  \n# \u7f29\u653e\u6570\u503c\u7279\u5f81\uff08\u4f7f\u7528\u4e0e\u8bad\u7ec3\u671f\u95f4\u76f8\u540c\u7684\u7f29\u653e\u5668\uff09  \ndf_scaled = scaler.transform(df)  \n  \n# \u4f7f\u7528\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u9884\u6d4b\u4ea4\u6613\u662f\u5426\u6b3a\u8bc8  \ny_pred = model.predict(df_scaled)  \n#print(y_pred)  \n# \u8f6c\u6362\u9884\u6d4b\uff08-1\u8868\u793a\u6b3a\u8bc8 -&gt; 1\uff0c1\u8868\u793a\u975e\u6b3a\u8bc8 -&gt; 0\uff09  \nis_fraud = 1 if y_pred[0] == -1 else 0  \n  \nprint(f\"\u6b3a\u8bc8\u4ea4\u6613: {is_fraud}\")\n<\/code><\/pre>\n<p><strong>\u6b3a\u8bc8\u4ea4\u6613: 0<\/strong><\/p>\n<h2>3\u3001\u8bbe\u7f6e\u7528\u4e8e\u5206\u6790\u4ea4\u6613\u7684LLM<\/h2>\n<p>\u63a5\u4e0b\u6765\u6211\u4eec\u8981\u4e3a\u4ee3\u7406\u914d\u5907\u4e00\u4e2a\u63a8\u7406LLM\uff0c\u8be5LLM\u5c06\u6839\u636e\u4ea4\u6613\u7ec6\u8282\u548c\u4ee5\u524d\u7684\u8d2d\u4e70\u5386\u53f2\u5206\u6790\u4ea4\u6613\u5e76\u786e\u5b9a\u5176\u662f\u5426\u6b3a\u8bc8\u3002<\/p>\n<p>\u6211\u4eec\u5c06\u4f7f\u7528\u4f5c\u4e3aLLM\uff0c\u56e0\u4e3a\u5b83\u5177\u6709\u8f83\u957f\u7684\u601d\u7ef4\u94fe\u548c\u5148\u8fdb\u7684\u63a8\u7406\u80fd\u529b\uff08\u6709\u5173\u66f4\u591a\u4fe1\u606f\uff0c\u8bf7\u53c2\u9605\u6b64\u57fa\u51c6\u6d4b\u8bd5\uff1a\uff09\uff1a<\/p>\n<p>  \u57fa\u51c6\u6d4b\u8bd5Deepseek <\/p>\n<p>\u4e3a\u4e86\u672c\u6559\u7a0b\uff0c\u6211\u4eec\u5c06\u4f7f\u7528UbiAI\u5e73\u53f0\u4e0a\u7684DeepSeek-R1-Distill-Llama-70B API\u3002\u4f7f\u7528UbiAI\uff0c\u6211\u4eec\u53ef\u4ee5\u8bb0\u5f55\u548c\u8bc4\u4f30\u6bcf\u4e2a\u67e5\u8be2\u7684LLM\u54cd\u5e94\uff0c\u8fd9\u5bf9\u4e8e\u7a0d\u540e\u4f7f\u7528\u5f3a\u5316\u5b66\u4e60\u6539\u8fdb\u6a21\u578b\u81f3\u5173\u91cd\u8981\u3002<\/p>\n<p>  UbiAI API\u7528\u4e8e\u4f7f\u7528Deepseek <\/p>\n<p>\u786e\u4fdd\u8bbe\u7f6emonitor_model: True\u4ee5\u4fbf\u80fd\u591f\u8ddf\u8e2a\u6bcf\u4e2a\u67e5\u8be2\u7684\u6a21\u578b\u54cd\u5e94\u3002<\/p>\n<p>\u8ba9\u6211\u4eec\u5728UbiAI\u6e38\u4e50\u573a\u4e2d\u6d4b\u8bd5\u4e00\u4e0b\u6a21\u578b\uff1a<\/p>\n<p>\u770b\u8d77\u6765\u5de5\u4f5c\u6b63\u5e38\uff0c\u4ee5\u4e0b\u662fDeepseek\u6a21\u578b\u7684\u5b8c\u6574\u54cd\u5e94\uff1a<\/p>\n<pre><code>&lt;think&gt;  \n\u597d\u5427\uff0c\u6211\u9700\u8981\u5206\u6790\u8fd9\u7b14\u4fe1\u7528\u5361\u4ea4\u6613\u4ee5\u786e\u5b9a\u5176\u662f\u5426\u6b3a\u8bc8\u3002\u8ba9\u6211\u4e00\u6b65\u4e00\u6b65\u5730\u5206\u6790\u3002  \n  \n\u9996\u5148\uff0c\u4ea4\u6613\u65e5\u671f\u548c\u65f6\u95f4\u662f2019\u5e7412\u67088\u65e5\uff0c00:26:16\u3002\u8fd9\u662f\u5f88\u665a\u7684\u65f6\u95f4\uff0c\u51e0\u4e4e\u662f\u5348\u591c\u3002\u6211\u60f3\u77e5\u9053\u6301\u5361\u4eba\u901a\u5e38\u662f\u5426\u4f1a\u5728\u8fd9\u6837\u7684\u65f6\u95f4\u8d2d\u7269\u3002\u5982\u679cCarlos Chung\u901a\u5e38\u5728\u767d\u5929\u8d2d\u7269\uff0c\u8fd9\u53ef\u80fd\u662f\u4e00\u4e2a\u7ea2\u65d7\u3002  \n  \n\u4fe1\u7528\u5361\u53f7\u662f2266735643685262\u3002\u6211\u4e0d\u77e5\u9053\u8fd9\u5f20\u5361\u662f\u5426\u88ab\u62a5\u544a\u4e3a\u88ab\u76d7\u6216\u4e0e\u4efb\u4f55\u5148\u524d\u7684\u6b3a\u8bc8\u76f8\u5173\u8054\uff0c\u4f46\u8fd9\u503c\u5f97\u68c0\u67e5\u3002\u4e5f\u8bb8\u770b\u770b\u6700\u8fd1\u662f\u5426\u6709\u4efb\u4f55\u672a\u7ecf\u6388\u6743\u7684\u4ea4\u6613\u5728\u8fd9\u5f20\u5361\u4e0a\u3002  \n  \n\u5546\u6237\u662f\"Bogisich Inc\"\uff0c\u7c7b\u522b\u662f\"grocery_pos\"\uff0c\u6211\u5047\u8bbe\u8fd9\u610f\u5473\u7740\u4e00\u5bb6\u6742\u8d27\u5e97\u7684\u9500\u552e\u70b9\u3002283.51\u7f8e\u5143\u7684\u6742\u8d27\u5e97\u8d2d\u4e70\u5e76\u4e0d\u592a\u4e0d\u5bfb\u5e38\uff0c\u4f46\u53d6\u51b3\u4e8eCarlos\u7684\u901a\u5e38\u6d88\u8d39\u4e60\u60ef\u3002\u5982\u679c\u4ed6\u901a\u5e38\u5728\u6742\u8d27\u5e97\u82b1\u8d39\u5927\u7ea6\u8fd9\u4e2a\u91d1\u989d\uff0c\u8fd9\u53ef\u80fd\u662f\u6b63\u5e38\u7684\uff0c\u4f46\u5982\u679c\u4ed6\u901a\u5e38\u82b1\u8d39\u8f83\u5c11\uff0c\u8fd9\u53ef\u80fd\u662f\u53ef\u7591\u7684\u3002  \n  \n\u67e5\u770b\u4f4d\u7f6e\u8be6\u60c5\uff0c\u4ea4\u6613\u5730\u70b9\u5728Grant, AL\uff0c\u90ae\u653f\u7f16\u7801\u4e3a35747\u3002\u7eac\u5ea6\u548c\u7ecf\u5ea6\u662f34.4959, -86.259\u3002\u5546\u6237\u7684\u4f4d\u7f6e\u662f35.189602, -86.344231\u3002\u6211\u5e94\u8be5\u68c0\u67e5\u8fd9\u4e9b\u4f4d\u7f6e\u662f\u5426\u5408\u7406\u3002\u5982\u679cCarlos\u5728\u6216\u63a5\u8fd1Grant, AL\u9644\u8fd1\u7684\u65f6\u95f4\u8fdb\u884c\u4ea4\u6613\uff0c\u8fd9\u53ef\u80fd\u662f\u5408\u6cd5\u7684\u3002\u4f46\u5982\u679c\u4ed6\u5728\u5176\u4ed6\u5730\u65b9\uff0c\u7279\u522b\u662f\u5728\u8fdc\u79bb\u7684\u5730\u65b9\uff0c\u90a3\u5c31\u6709\u95ee\u9898\u4e86\u3002  \n  \n\u6301\u5361\u4eba\u7684\u4e2a\u4eba\u4fe1\u606f\uff1aCarlos Chung\uff0c\u7537\u6027\uff0c\u751f\u4e8e1972\u5e747\u670825\u65e5\u3002\u4ed6\u7684\u5de5\u4f5c\u662f\u7b56\u5c55\u4eba\uff0c\u8fd9\u53ef\u80fd\u610f\u5473\u7740\u4ed6\u6709\u7a33\u5b9a\u7684\u6536\u5165\uff0c\u4f46\u8fd9\u4e0d\u4e00\u5b9a\u610f\u5473\u7740\u4e0d\u662f\u6b3a\u8bc8\u3002\u4ed6\u7684\u5730\u5740\u662f8957 Russell Key\uff0cGrant, AL\u3002\u6211\u5e94\u8be5\u9a8c\u8bc1\u8fd9\u662f\u5426\u4e0e\u5b58\u6863\u7684\u8d26\u5355\u5730\u5740\u76f8\u7b26\u3002  \n  \n\u4ea4\u6613\u7f16\u53f7\u662f\"1dac0908859f67f9d27638bc11df5119\"\uff0cUnix\u65f6\u95f4\u662f1354926376\u3002\u6211\u53ef\u4ee5\u5c06\u5176Unix\u65f6\u95f4\u8f6c\u6362\u4e3a\u65e5\u671f\u4ee5\u8fdb\u884c\u4ea4\u53c9\u9a8c\u8bc1\u3002\u8ba9\u6211\u5feb\u901f\u505a\u4e00\u4e0b\u3002Unix\u65f6\u95f41354926376\u5bf9\u5e94\u4e8e2012\u5e7412\u67088\u65e5\u3002\u7b49\u7b49\uff0c\u8fd9\u5f88\u5947\u602a\uff0c\u56e0\u4e3a\u4ea4\u6613\u65e5\u671f\u662f2019-12-08\u3002\u8fd9\u91cc\u6709\u4e00\u4e2a\u4e0d\u4e00\u81f4\u3002Unix\u65f6\u95f4\u6765\u81ea2012\u5e74\uff0c\u4f46\u4ea4\u6613\u65e5\u671f\u662f2019\u5e74\u3002\u8fd9\u6ca1\u6709\u610f\u4e49\u3002\u53ef\u80fd\u662f\u6570\u636e\u8f93\u5165\u9519\u8bef\uff0c\u4f46\u503c\u5f97\u6ce8\u610f\u3002  \n  \n\u57ce\u5e02\u4eba\u53e3\u662f5901\uff0c\u8fd9\u662f\u4e00\u4e2a\u76f8\u5f53\u5c0f\u7684\u6570\u5b57\u3002\u5982\u679cCarlos\u4f4f\u5728\u5c0f\u9547\u4e0a\u5e76\u4e14\u5728\u5f53\u5730\u8d2d\u7269\uff0c\u4ea4\u6613\u53ef\u80fd\u662f\u6b63\u5e38\u7684\u3002\u4f46\u5982\u679c\u4ed6\u6765\u81ea\u4e00\u4e2a\u66f4\u5927\u7684\u57ce\u5e02\uff0c\u8fd9\u53ef\u80fd\u4f1a\u663e\u5f97\u5f02\u5e38\u3002  \n  \n\u7efc\u5408\u6765\u770b\uff0c\u4e3b\u8981\u7684\u7ea2\u65d7\u662f\u4ea4\u6613\u65f6\u95f4\u8f83\u665a\u548cUnix\u65f6\u95f4\u4e0d\u5339\u914d\u3002\u91d1\u989d\u4e0d\u662f\u592a\u9ad8\uff0c\u4f46\u65f6\u95f4\u548c\u4f4d\u7f6e\u9700\u8981\u68c0\u67e5\u3002\u5982\u679cCarlos\u4e0d\u5728Grant, AL\uff0c\u6216\u8005\u5982\u679cUnix\u65f6\u95f4\u6b63\u786e\u4f46\u4e0e\u4ea4\u6613\u65e5\u671f\u4e0d\u7b26\uff0c\u8fd9\u53ef\u80fd\u8868\u660e\u6b3a\u8bc8\u3002\u6211\u4e5f\u5e94\u8be5\u68c0\u67e5\u5361\u7247\u7684\u5386\u53f2\uff0c\u770b\u770b\u662f\u5426\u6709\u4efb\u4f55\u5176\u4ed6\u53ef\u7591\u6d3b\u52a8\u3002  \n  \n\u6211\u8ba4\u4e3a\u6211\u4f1a\u7ed9\u8fd9\u6b21\u4ea4\u6613\u4e00\u4e2a\u6b3a\u8bc8\u5206\u6570\u4e3a3\u3002\u6709\u4e00\u4e9b\u53ef\u7591\u70b9\uff0c\u4f46\u5728\u6ca1\u6709\u66f4\u591a\u80cc\u666f\u4fe1\u606f\u7684\u60c5\u51b5\u4e0b\uff0c\u8fd9\u4e0d\u662f\u4e00\u4e2a\u660e\u786e\u7684\u6b3a\u8bc8\u3002\u503c\u5f97\u8fdb\u4e00\u6b65\u8c03\u67e5\uff0c\u7279\u522b\u662f\u65f6\u95f4\u548c\u5730\u70b9\u7684\u4e0d\u4e00\u81f4\u6027\u3002  \n&lt;\/think&gt;  \n  \n**\u6b3a\u8bc8\u5206\u6790\u548c\u5efa\u8bae**  \n  \n**\u4ea4\u6613\u6982\u8ff0\uff1a**  \n- **\u65e5\u671f\u548c\u65f6\u95f4\uff1a** 2019\u5e7412\u67088\u65e5\uff0c00:26:16\uff08\u6df1\u591c\uff09  \n- **\u5546\u6237\uff1a** Bogisich Inc\uff08\u6742\u8d27\u5e97\uff09  \n- **\u91d1\u989d\uff1a** 283.51\u7f8e\u5143  \n- **\u4f4d\u7f6e\uff1a** Grant, AL\uff08\u90ae\u653f\u7f16\u780135747\uff09  \n- **\u6301\u5361\u4eba\uff1a** Carlos Chung  \n  \n**\u8bc6\u522b\u51fa\u7684\u7ea2\u65d7\uff1a**  \n1. **\u4ea4\u6613\u65f6\u95f4\u8f83\u665a\uff1a** \u8d2d\u4e70\u53d1\u751f\u5728\u5348\u591c\u9644\u8fd1\uff0c\u5982\u679c\u6301\u5361\u4eba\u901a\u5e38\u5728\u767d\u5929\u8d2d\u7269\uff0c\u8fd9\u53ef\u80fd\u662f\u7ea2\u65d7\u3002  \n2. **Unix\u65f6\u95f4\u4e0d\u5339\u914d\uff1a** Unix\u65f6\u95f4\u5bf9\u5e94\u4e8e2012\u5e7412\u67088\u65e5\uff0c\u800c\u4e0d\u662f2019\u5e74\uff0c\u8868\u660e\u53ef\u80fd\u5b58\u5728\u9519\u8bef\u6216\u64cd\u7eb5\u3002  \n  \n**\u8c03\u67e5\u5efa\u8bae\uff1a**  \n- \u9a8c\u8bc1\u6301\u5361\u4eba\u5728\u4ea4\u6613\u65e5\u671f\u7684\u4f4d\u7f6e\u3002  \n- \u68c0\u67e5\u5361\u7247\u5386\u53f2\u8bb0\u5f55\u4e2d\u662f\u5426\u6709\u7c7b\u4f3c\u7684\u6df1\u591c\u4ea4\u6613\u3002  \n- \u8c03\u67e5Unix\u65f6\u95f4\u4e0d\u5339\u914d\u7684\u539f\u56e0\u3002  \n- \u5c06\u4ea4\u6613\u5730\u70b9\u4e0e\u6301\u5361\u4eba\u7684\u5df2\u77e5\u884c\u8e2a\u8fdb\u884c\u4ea4\u53c9\u6838\u5bf9\u3002  \n  \n**\u6b3a\u8bc8\u8bc4\u5206\uff1a** 3\/5  \n- \u4ea4\u6613\u6709\u4e00\u4e9b\u53ef\u7591\u5143\u7d20\uff0c\u7279\u522b\u662f\u65f6\u95f4\u548c\u65e5\u671f\u4e0d\u4e00\u81f4\uff0c\u9700\u8981\u8fdb\u4e00\u6b65\u8c03\u67e5\u3002\u7136\u800c\uff0c\u5728\u6ca1\u6709\u66f4\u591a\u80cc\u666f\u4fe1\u606f\u7684\u60c5\u51b5\u4e0b\uff0c\u8fd9\u5e76\u4e0d\u660e\u786e\u662f\u6b3a\u8bc8\u3002  \n  \n**\u7ed3\u8bba\uff1a**  \n\u5c3d\u7ba1\u4ea4\u6613\u5f15\u8d77\u4e86\u4e00\u4e9b\u62c5\u5fe7\uff0c\u7279\u522b\u662f\u5173\u4e8e\u65f6\u95f4\u548c\u65e5\u671f\u7684\u4e00\u81f4\u6027\u95ee\u9898\uff0c\u4f46\u9700\u8981\u8fdb\u4e00\u6b65\u8c03\u67e5\u4ee5\u786e\u5b9a\u5176\u662f\u5426\u6b3a\u8bc8\u3002\n<\/code><\/pre>\n<p>\u4ea4\u6613\u5206\u6790\u8be6\u7ec6\u5730\u8bc6\u522b\u4e86\u4ea4\u6613\u65f6\u95f4\u8f83\u665a\u3001\u6bd4\u8f83\u5546\u6237\u4f4d\u7f6e\u548c\u6301\u5361\u4eba\u4f4d\u7f6e\u4ee5\u53ca\u91d1\u989d\u3002\u7136\u800c\uff0c\u6211\u4eec\u9700\u8981\u63d0\u4f9b\u5176\u5386\u53f2\u4ea4\u6613\u4ee5\u63d0\u9ad8\u5206\u6790\u8d28\u91cf\u3002<\/p>\n<h2>4\u3001\u8bbe\u7f6e\u6b3a\u8bc8\u68c0\u6d4bAI\u4ee3\u7406<\/h2>\n<p>\u6709\u51e0\u4e2a\u5e73\u53f0\u53ef\u4ee5\u8ba9\u60a8\u6784\u5efaAI\u4ee3\u7406\uff0c\u4f8b\u5982crewai\u3001\u3001n8n\u3001langflow\u7b49\u3002\u4f46\u5bf9\u4e8e\u672c\u6559\u7a0b\uff0c\u6211\u4eec\u5c06\u4f7f\u7528\u521b\u5efa\u4ee3\u7406\uff0c\u56e0\u4e3a\u5b83\u80fd\u591f\u5904\u7406\u591a\u79cd\u6587\u6863\u7c7b\u578b\uff08PDF\u3001TXT\u3001HTML\u7b49\uff09\u5e76\u5141\u8bb8\u7528\u6237\u4e0a\u4f20\u521b\u5efa\u6587\u6863\u6570\u636e\u5e93\uff0c\u4f9b\u4ee3\u7406\u4f7f\u7528\uff1a<\/p>\n<p>  \u5728Kudra\u4e0a\u4f20\u7684\u4ea4\u6613 <\/p>\n<p>\u7b2c\u4e00\u6b65\u662f\u4e0a\u4f20\u5386\u53f2\u4ea4\u6613\uff0c\u4ee3\u7406\u53ef\u4ee5\u4f7f\u7528\u8fd9\u4e9b\u4ea4\u6613\u8fdb\u884c\u5206\u6790\u3002\u5728Kudra\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u4e0a\u4f20txt\u6587\u4ef6\u5230\u4ee3\u7406\u9879\u76ee\u4e2d\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\uff0c\u5982\u56fe\u6240\u793a\u3002<\/p>\n<p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u9700\u8981\u521b\u5efa\u4e24\u4e2a\u5de5\u5177\uff1a<\/p>\n<ul>\n<li><strong>Fraud_detector_ML:<\/strong> \u4f20\u7edfML\u6a21\u578bAPI\uff0c\u7528\u4e8e\u9884\u6d4b\u4ea4\u6613\u662f\u5426\u6b3a\u8bc8<\/li>\n<li><strong>Transaction_explanator:<\/strong> LLM\u63a8\u7406\u5f15\u64ceAPI\uff0c\u7528\u4e8e\u6839\u636e\u5f53\u524d\u4ea4\u6613\u548c\u8d2d\u4e70\u5386\u53f2\u5224\u65ad\u4ea4\u6613\u662f\u5426\u6b3a\u8bc8\u3002<\/li>\n<\/ul>\n<p>\u5728Kudra\u4e2d\uff0c\u6211\u4eec\u5c06\u8fd9\u4e24\u4e2aAPI\u8fde\u63a5\u4e3a\u5de5\u5177\u5230\u4ee3\u7406\u3002\u6211\u4eec\u53ef\u4ee5\u6dfb\u52a0\u5176\u4ed6\u5de5\u5177\u6765\u5e2e\u52a9\u4ee3\u7406\u8fdb\u4e00\u6b65\u8c03\u67e5\uff0c\u4f8b\u5982Google\u5730\u56feAPI\u6765\u5b9a\u4f4d\u5546\u6237\u4f4d\u7f6e\uff0c\u7f51\u7ad9\u6293\u53d6\u5668\u6765\u83b7\u53d6\u6709\u5173\u5546\u6237\u7684\u4fe1\u606f\u7b49\u3002\u4f46\u4e3a\u4e86\u672c\u6559\u7a0b\u7684\u76ee\u7684\uff0c\u6211\u4eec\u53ea\u7ed9\u5b83\u4e24\u4e2a\u5de5\u5177\u3002<\/p>\n<h2>5\u3001\u53ef\u89e3\u91ca\u6027\u7684\u529b\u91cf<\/h2>\n<p>\u4e3a\u4e86\u6d4b\u8bd5\u4ee3\u7406\uff0c\u6211\u4eec\u5c06\u6d4b\u8bd5\u8fd9\u4e2a\u7279\u5b9a\u4ea4\u6613\u53ca\u517610\u4e2a\u6700\u8fd1\u7684\u8d2d\u4e70\u8bb0\u5f55\uff1a<\/p>\n<p><em>{ \u201ctrans_date_trans_time\u201d: \u201c2019\u201312\u201309 03:23:21\u201d, \u201ccc_num\u201d: 2266735643685262, \u201cmerchant\u201d: \u201cKoepp-Parker\u201d, \u201ccategory\u201d: \u201cgrocery_pos\u201d, \u201camt\u201d: 316.82, \u201cfirst\u201d: \u201cCarlos\u201d, \u201clast\u201d: \u201cChung\u201d, \u201cgender\u201d: \u201cM\u201d, \u201cstreet\u201d: \u201c8957 Russell Key\u201d, \u201ccity\u201d: \u201cGrant\u201d, \u201cstate\u201d: \u201cAL\u201d, \u201czip\u201d: 35747, \u201clat\u201d: 34.4959, \u201clong\u201d: -86.259, \u201ccity_pop\u201d: 5901, \u201cjob\u201d: \u201cCurator\u201d, \u201cdob\u201d: \u201c1972\u201307\u201325\u201d, \u201ctrans_num\u201d: \u201c1e787b206a1a9154a5f397dfaa6f6b40\u201d, \u201cunix_time\u201d: 1355023401, \u201cmerch_lat\u201d: 35.177042, \u201cmerch_long\u201d: -86.942305}<\/em><\/p>\n<p>\u4ee5\u4e0b\u662fAI\u4ee3\u7406\u8f93\u51fa\u7684\u622a\u56fe\uff1a<\/p>\n<p>\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u4ee3\u7406\u9996\u5148\u8c03\u7528\u4e86\u7b2c\u4e00\u4e2a\u5de5\u5177 <em>Fraud_detector_ML<\/em> \u7136\u540e\u662f\u7b2c\u4e8c\u4e2a\u5de5\u5177 <em>Transaction_explanator.<\/em><\/p>\n<p>\u4ee5\u4e0b\u662f\u9884\u6d4bML\u6a21\u578b\u7684\u8f93\u51fa\uff1a{\u2018is_fraud\u2019: 0}\u3002\u8fd9\u610f\u5473\u7740\u4ea4\u6613\u4e0d\u662f\u6b3a\u8bc8\u3002<\/p>\n<p>\u7136\u800c\uff0c\u5982\u679c\u4f60\u67e5\u770bLLM\u63a8\u7406\u5668\u7684\u8f93\u51fa\uff0c\u6211\u4eec\u4f1a\u770b\u5230\u4e0d\u540c\u7684\u6545\u4e8b\uff1a<\/p>\n<blockquote><p>\n <em><strong>\u6b3a\u8bc8\u5206\u6790\u62a5\u544a<\/strong><\/em> <\/p>\n<p> <em><strong>\u4ea4\u6613\u8be6\u60c5\uff1a<\/strong><\/em> <\/p>\n<p> <em><strong>\u65e5\u671f\u4e0e\u65f6\u95f4\uff1a<\/strong><\/em><br \/>\n <em>2019\u5e7412\u67089\u65e5\uff0c3:23:21<\/em> <\/p>\n<p> <em><strong>\u5546\u6237\uff1a<\/strong><\/em><br \/>\n <em>Koepp-Parker<\/em> <\/p>\n<p> <em><strong>\u7c7b\u522b\uff1a<\/strong><\/em><br \/>\n <em>\u6742\u8d27<\/em> <\/p>\n<p> <em><strong>\u91d1\u989d\uff1a<\/strong><\/em><br \/>\n <em>$316.82<\/em> <\/p>\n<p> <em><strong>\u4f4d\u7f6e\uff1a<\/strong><\/em><br \/>\n <em>35.177042, -86.942305\uff08\u8ddd\u79bb\u5bb6\u7ea634\u82f1\u91cc\uff09<\/em> <\/p>\n<p> <em><strong>\u5206\u6790\uff1a<\/strong><\/em> *1.*<br \/>\n <em><strong>\u4ea4\u6613\u65f6\u95f4\uff1a<\/strong><\/em> *\u4ea4\u6613\u53d1\u751f\u5728\u6e05\u6668\uff0c\u53ef\u80fd\u4e0d\u5bfb\u5e38\uff0c\u4f46\u6ca1\u6709\u989d\u5916\u7684\u80cc\u666f\u4fe1\u606f\uff0c\u4e0d\u80fd\u4f5c\u4e3a\u6b3a\u8bc8\u7684\u786e\u51ff\u8bc1\u636e\u3002 2.*<br \/>\n <em><strong>\u91d1\u989d\uff1a<\/strong><\/em> *\u91d1\u989d\u663e\u8457\u9ad8\u4e8e\u666e\u901a\u4ea4\u6613\uff0c\u5927\u591a\u6570\u4f4e\u4e8e100\u7f8e\u5143\u3002<br \/>\n <br \/>\u524d\u4e00\u6b21\u5927\u989d\u8d2d\u4e70\u4e3a311.70\u7f8e\u5143\uff0c\u5c5e\u4e8e\u5a31\u4e50\u7c7b\u522b\uff0c\u4f7f\u8fd9\u6b21\u6742\u8d27\u8d2d\u4e70\u663e\u5f97\u7279\u522b\u3002 3.*<br \/>\n <em><strong>\u5546\u6237\u7c7b\u522b\uff1a<\/strong><\/em> *\u7c7b\u522b\u4e0d\u540c\u4e8e\u524d\u4e00\u6b21\u5927\u989d\u4ea4\u6613\uff0c\u5f15\u53d1\u4e86\u5173\u4e8e\u8d2d\u4e70\u6027\u8d28\u7684\u7591\u95ee\u3002 4.*<br \/>\n <em><strong>\u4f4d\u7f6e\uff1a<\/strong><\/em><br \/>\n <em>\u5546\u6237\u4f4d\u4e8e\u6301\u5361\u4eba\u5bb634\u82f1\u91cc\u4e4b\u5916\uff0c\u8fd9\u662f\u4e00\u4e2a\u663e\u8457\u7684\u8ddd\u79bb\uff0c\u4e0e\u8fc7\u53bb\u4ea4\u6613\u5730\u70b9\u4e0d\u7b26\u3002<\/em> <\/p>\n<p> <em><strong>\u7ed3\u8bba\uff1a<\/strong><\/em><br \/>\n <em>\u9ad8\u91d1\u989d\u3001\u4e0d\u540c\u7684\u5546\u6237\u7c7b\u522b\u548c\u8fdc\u8ddd\u79bb\u4f4d\u7f6e\u7684\u7ec4\u5408\u8868\u660e\u53ef\u80fd\u5b58\u5728\u6b3a\u8bc8\u6d3b\u52a8\u3002<\/em><br \/>\n <br \/> <br \/>\n <em>\u867d\u7136\u53ef\u80fd\u6709\u6b63\u5f53\u7406\u7531\uff0c\u4f46\u8fd9\u4e9b\u5f02\u5e38\u60c5\u51b5\u503c\u5f97\u8fdb\u4e00\u6b65\u8c03\u67e5\u3002<\/em> <\/p>\n<p> <em><strong>\u5efa\u8bae\uff1a<\/strong><\/em><br \/>\n <em>\u6807\u8bb0\u4e3a\u6f5c\u5728\u6b3a\u8bc8\u3002<\/em>\n<\/p><\/blockquote>\n<p>LLM\u7684\u62a5\u544a\u5305\u62ec\uff1a<\/p>\n<ul>\n<li>\u65f6\u95f4\u5206\u6790\uff08\u201c\u4ea4\u6613\u53d1\u751f\u5728\u6e05\u6668\uff0c\u53ef\u80fd\u4e0d\u5bfb\u5e38\u201d\uff09\u3002<\/li>\n<li>\u5730\u7406\u4f4d\u7f6e\u5dee\u5f02\uff08\u5206\u6790\u5546\u6237\u548c\u6301\u5361\u4eba\u4e4b\u95f4\u7684\u8ddd\u79bb\u7ea6\u4e3a34\u82f1\u91cc\uff09\u3002<\/li>\n<li>\u91d1\u989d\uff08\u9ad8\u4e8e\u666e\u901a\u4ea4\u6613\u7684\u91d1\u989d\uff09\u3002<\/li>\n<\/ul>\n<p>\u5206\u6790\u975e\u5e38\u8be6\u5c3d\uff0c\u5c06\u5f53\u524d\u4ea4\u6613\u7ec6\u8282\u4e0e\u5df2\u77e5\u4ea4\u6613\u8fdb\u884c\u6bd4\u8f83\uff0c\u5e76\u627e\u51fa\u5dee\u5f02\u3002<\/p>\n<p>\u6700\u7ec8\u5efa\u8bae\u6807\u8bb0\u4ea4\u6613\u4e3a\u6b3a\u8bc8\uff0c\u8fd9\u4e0e\u4f20\u7edf\u7684\u9ed1\u76d2ML\u6a21\u578b\u7684\u7ed3\u679c<strong>\u76f8\u77db\u76fe<\/strong>\u3002<\/p>\n<p>\u6b64\u65f6\uff0c\u6211\u4eec\u6709\u4e24\u4e2a\u76f8\u4e92\u77db\u76fe\u7684\u4fe1\u606f\uff0c\u53ef\u4ee5\u501f\u52a9\u66f4\u591a\u7684\u5de5\u5177\u6216\u5f15\u5165\u4eba\u5de5\u5ba1\u6838\u6765\u89e3\u51b3\u8fd9\u4e00\u77db\u76fe\u3002<\/p>\n<p>\u901a\u8fc7\u5728\u4f20\u7edfML\u6a21\u578b\u4e2d\u52a0\u5165\u63a8\u7406LLM\u5f15\u64ce\uff0c\u6211\u4eec\u5df2\u7ecf\uff1a<\/p>\n<ul>\n<li>\u51cf\u5c11\u4e86\u4f20\u7edfML\u6a21\u578b\u7684\u9ed1\u76d2\u7279\u6027<\/li>\n<li>\u6dfb\u52a0\u4e86\u989d\u5916\u7684LLM\u63a8\u7406\u9a8c\u8bc1\u5c42<\/li>\n<li>\u63d0\u9ad8\u4e86\u7cfb\u7edf\u7684\u6574\u4f53\u6548\u7387<\/li>\n<\/ul>\n<p>\u4e0b\u4e00\u6b65\uff0c\u6211\u4eec\u53ef\u4ee5\u751a\u81f3\u6dfb\u52a0\u591a\u4e2a\u4ee3\u7406\u534f\u540c\u5de5\u4f5c\uff0c\u4ee5\u63d0\u4f9b\u66f4\u7cbe\u786e\u7684\u5efa\u8bae\uff0c\u56e0\u4e3a\u591a\u4ee3\u7406\u7cfb\u7edf\u7684\u8868\u73b0\u4f18\u4e8e\u5355\u4e2a\u4ee3\u7406\u5df2\u88ab\u8bc1\u660e\u3002<\/p>\n<p>\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u901a\u7528LLM\u7531\u4e8e\u5176\u751f\u6210\u6027\u8d28\u800c\u4e0d\u4e00\u81f4\u4e14\u4e0d\u53ef\u9760\uff08\u4e0e\u4f20\u7edf\u7684\u9884\u6d4bML\u76f8\u53cd\uff09\u3002\u4f8b\u5982\uff0c\u6211\u5c06\u76f8\u540c\u7684\u4ea4\u6613\u8f93\u516510\u6b21\uff0c\u5176\u4e2d\u4e24\u6b21\u8f93\u51fa\u4e3a\u201c\u672a\u6b3a\u8bc8\u201d\u3002\u8fd9\u662f\u751f\u6210AI\u9886\u57df\u5e38\u89c1\u7684\u95ee\u9898\uff0c\u9700\u8981\u901a\u8fc7\u5f3a\u5316\u5b66\u4e60\u8fdb\u884c\u5fae\u8c03\uff0c\u6211\u4eec\u5c06\u5728\u4e0b\u4e00\u8282\u8ba8\u8bba\u3002<\/p>\n<h2>6\u3001LLM\u8ffd\u8e2a\u3001\u8bc4\u4f30\u548c\u5f3a\u5316\u5b66\u4e60<\/h2>\n<p><strong>\u6301\u7eed\u76d1\u63a7<\/strong><\/p>\n<p>\u7531\u4e8e\u5176\u751f\u6210\u6027\u8d28\uff0cLLM\u4ee5\u5176\u4e0d\u4e00\u81f4\u6027\u548c\u4e0d\u53ef\u9760\u6027\u8457\u79f0\u3002\u4ece\u53ef\u9760\u6027\u7684\u89d2\u5ea6\u6765\u770b\uff0c\u8bb0\u5f55\u548c\u76d1\u63a7LLM\u4ea4\u4e92\u81f3\u5173\u91cd\u8981\uff0c\u539f\u56e0\u5982\u4e0b\uff1a<\/p>\n<ul>\n<li>\u5206\u6790\u8f93\u5165\/\u8f93\u51fa\u4ee5\u6d4b\u91cf\u4efb\u4f55\u6570\u636e\u6f02\u79fb<\/li>\n<li>\u67e5\u627e\u8f93\u51fa\u4e2d\u7684\u4efb\u4f55\u5f02\u5e38<\/li>\n<li>\u4f7f\u7528\u4eba\u7c7b\u6216\u5176\u4ed6LLM\u4f5c\u4e3a\u88c1\u5224\u5bf9LLM\u54cd\u5e94\u8fdb\u884c\u8bc4\u7ea7\uff0c\u6536\u96c6\u5956\u52b1\u6570\u636e\uff0c\u7528\u4e8e\u901a\u8fc7\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3\u6539\u8fdb\u6a21\u578b\u3002<\/li>\n<\/ul>\n<p>\u4f7f\u7528UbIAI\uff0c\u6bcf\u4e2aAPI\u8c03\u7528\u90fd\u4f1a\u5728\u201c\u76d1\u63a7\u201d\u90e8\u5206\u4e2d\u8bb0\u5f55\u8f93\u5165\/\u8f93\u51fa\u3002<\/p>\n<p>  UbIAI\u76d1\u63a7\u4eea\u8868\u677f  UbIAI LLM\u67e5\u8be2\u8bc4\u4f30 <\/p>\n<p>\u7528\u6237\u53ef\u4ee5\u6839\u636e\u8f93\u5165\/\u8f93\u51fa\u5bf9LLM\u54cd\u5e94\u8fdb\u884c\u51c6\u786e\u6216\u4e0d\u51c6\u786e\u7684\u8bc4\u7ea7\u3002\u4f7f\u7528UbIAI\u7684LLM\u4f5c\u4e3a\u88c1\u5224\u529f\u80fd\uff0c\u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u63d0\u793a\u5e76\u8bbe\u7f6e\u8f93\u51fa\u8f68\u9053\uff0c\u4ee5\u81ea\u52a8\u8bbe\u7f6e\u6211\u4eec\u5173\u5fc3\u7684\u4efb\u4f55\u6307\u6807\uff0c\u5982\u201c\u5e7b\u89c9\u201d\u3001\u201c\u771f\u5b9e\u6027\u201d\u3001\u201c\u4e8b\u5b9e\u6027\u201d\u7b49\u3002<\/p>\n<p>  LLM\u4f5c\u4e3a\u88c1\u5224\u914d\u7f6e\u9875\u9762 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