{"id":124000,"date":"2026-11-08T17:24:52","date_gmt":"2026-11-08T09:24:52","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/124000.html"},"modified":"2026-11-08T17:24:52","modified_gmt":"2026-11-08T09:24:52","slug":"python-ai-economist-%e5%8c%85%e5%ae%9e%e6%88%98%e6%a1%88%e4%be%8b%e4%b8%8e%e5%b8%b8%e8%a7%81%e9%94%99%e8%af%af","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/124000.html","title":{"rendered":"Python ai-economist \u5305\u5b9e\u6218\u6848\u4f8b\u4e0e\u5e38\u89c1\u9519\u8bef"},"content":{"rendered":"<h3>1. \u5f15\u8a00<\/h3>\n<p>ai-economist \u662f Salesforce Research \u5f00\u6e90\u7684\u4e00\u4e2a\u57fa\u4e8e\u5f3a\u5316\u5b66\u4e60\u7684\u591a\u667a\u80fd\u4f53\u7ecf\u6d4e\u6a21\u62df\u6846\u67b6&#xff0c;\u5b83\u628a\u7ecf\u6d4e\u5b66\u5efa\u6a21\u4e0e\u6df1\u5ea6\u5f3a\u5316\u5b66\u4e60\u7ed3\u5408\u8d77\u6765&#xff0c;\u8ba9\u7814\u7a76\u8005\u53ef\u4ee5\u7528 Python \u6784\u5efa\u5305\u542b\u591a\u4e2a\u667a\u80fd\u4f53&#xff08;agent&#xff09;\u7684\u865a\u62df\u7ecf\u6d4e\u73af\u5883&#xff0c;\u5e76\u901a\u8fc7\u8bad\u7ec3\u667a\u80fd\u4f53\u5b66\u4f1a\u5408\u4f5c\u3001\u7ade\u4e89\u3001\u7a0e\u6536\u3001\u8865\u8d34\u7b49\u7ecf\u6d4e\u884c\u4e3a\u3002\u672c\u6587\u5c06\u4ece\u529f\u80fd\u3001\u5b89\u88c5\u3001\u6838\u5fc3\u8bed\u6cd5\u4e0e\u53c2\u6570\u30019 \u4e2a\u5b9e\u9645\u5e94\u7528\u6848\u4f8b\u4ee5\u53ca\u5e38\u89c1\u9519\u8bef\u4e0e\u6ce8\u610f\u4e8b\u9879\u4e94\u4e2a\u65b9\u9762&#xff0c;\u7cfb\u7edf\u4ecb\u7ecd\u8fd9\u4e2a\u5305\u7684\u4f7f\u7528\u65b9\u6cd5\u3002<\/p>\n<h3>2. \u6838\u5fc3\u529f\u80fd<\/h3>\n<p>ai-economist \u7684\u6838\u5fc3\u80fd\u529b\u53ef\u4ee5\u6982\u62ec\u4e3a\u4ee5\u4e0b\u51e0\u4e2a\u65b9\u9762&#xff1a;<\/p>\n<ul>\n<li>\u591a\u667a\u80fd\u4f53\u7ecf\u6d4e\u73af\u5883&#xff1a;\u5185\u7f6e\u4e86\u591a\u79cd\u7ecf\u6d4e\u73af\u5883&#xff0c;\u4f8b\u5982 Basic\u3001Coordination\u3001Gather\u3001Gather-Collect-Trade \u7b49&#xff0c;\u6bcf\u4e2a\u73af\u5883\u90fd\u5305\u542b\u82e5\u5e72\u667a\u80fd\u4f53\u3001\u7269\u54c1\u3001\u8d27\u5e01\u548c\u8d44\u6e90\u3002<\/li>\n<li>\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3\u6846\u67b6&#xff1a;\u57fa\u4e8e TensorFlow 2 \u548c tf-agents&#xff0c;\u63d0\u4f9b PPO \u7b49\u5f3a\u5316\u5b66\u4e60\u7b97\u6cd5\u7684\u5b9e\u73b0&#xff0c;\u652f\u6301\u5bf9\u667a\u80fd\u4f53\u7b56\u7565\u8fdb\u884c\u8bad\u7ec3\u548c\u8bc4\u4f30\u3002<\/li>\n<li>\u53ef\u5b9a\u5236\u7ecf\u6d4e\u673a\u5236&#xff1a;\u5141\u8bb8\u7814\u7a76\u8005\u81ea\u5b9a\u4e49\u667a\u80fd\u4f53\u7684\u6548\u7528\u51fd\u6570\u3001\u7269\u54c1\u5c5e\u6027\u3001\u7a0e\u6536\u4e0e\u8865\u8d34\u89c4\u5219\u3001\u5e02\u573a\u4ea4\u6613\u673a\u5236\u7b49\u3002<\/li>\n<li>\u4e30\u5bcc\u7684\u5185\u7f6e\u5de5\u5177&#xff1a;\u63d0\u4f9b\u53ef\u89c6\u5316\u5de5\u5177\u3001\u8bad\u7ec3\u65e5\u5fd7\u8bb0\u5f55\u3001\u6a21\u578b\u4fdd\u5b58\u4e0e\u52a0\u8f7d\u3001\u8d85\u53c2\u6570\u914d\u7f6e\u7b49\u529f\u80fd\u3002<\/li>\n<li>\u7814\u7a76\u590d\u73b0\u652f\u6301&#xff1a;\u5b98\u65b9\u63d0\u4f9b\u4e86\u591a\u7bc7\u8bba\u6587\u5bf9\u5e94\u7684\u5b9e\u9a8c\u914d\u7f6e&#xff0c;\u65b9\u4fbf\u590d\u73b0\u7ecf\u6d4e\u5b66\u7814\u7a76\u7ed3\u679c\u3002<\/li>\n<\/ul>\n<h3>3. \u5b89\u88c5\u4e0e\u73af\u5883\u51c6\u5907<\/h3>\n<p>ai-economist \u4f9d\u8d56 Python 3.7 \u53ca\u4ee5\u4e0a\u7248\u672c&#xff0c;\u5e76\u9700\u8981 TensorFlow 2.x\u3002\u63a8\u8350\u4f7f\u7528\u865a\u62df\u73af\u5883\u5b89\u88c5&#xff0c;\u907f\u514d\u4f9d\u8d56\u51b2\u7a81\u3002<\/p>\n<p># \u521b\u5efa\u5e76\u6fc0\u6d3b\u865a\u62df\u73af\u5883&#xff08;\u53ef\u9009\u4f46\u63a8\u8350&#xff09;<br \/>\npython3 -m venv ai-economist-env<br \/>\nsource ai-economist-env\/bin\/activate<br \/>\n\u5b89\u88c5 ai-economist<br \/>\npip install ai-economist<br \/>\n\u5982\u679c\u5e0c\u671b\u4f7f\u7528 GPU \u52a0\u901f\u8bad\u7ec3&#xff0c;\u53ef\u989d\u5916\u5b89\u88c5 GPU \u7248 TensorFlow<br \/>\npip install tensorflow-gpu&#061;&#061;2.4.1<\/p>\n<p>\u5b89\u88c5\u5b8c\u6210\u540e&#xff0c;\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u9a8c\u8bc1\u662f\u5426\u5b89\u88c5\u6210\u529f&#xff1a;<\/p>\n<p>python -c &#034;import ai_economist; print(ai_economist.__version__)&#034;<\/p>\n<h3>4. \u6838\u5fc3\u8bed\u6cd5\u4e0e\u53c2\u6570<\/h3>\n<h4>4.1 \u521b\u5efa\u7ecf\u6d4e\u73af\u5883<\/h4>\n<p>ai-economist \u4f7f\u7528\u6ce8\u518c\u8868\u673a\u5236\u521b\u5efa\u73af\u5883\u3002\u6700\u5e38\u7528\u7684\u65b9\u5f0f\u662f\u4f7f\u7528 ai_economist.foundation.base_env \u4e2d\u7684 BaseEnvironment&#xff0c;\u5e76\u901a\u8fc7 env_registry \u6ce8\u518c\u81ea\u5b9a\u4e49\u73af\u5883\u3002<\/p>\n<p>from ai_economist import foundation<br \/>\n\u4f7f\u7528\u5185\u7f6e\u7684 Basic \u73af\u5883<br \/>\nenv &#061; foundation.make_env(<br \/>\nenv_name&#061;&#034;basic&#034;,<br \/>\nn_agents&#061;5,<br \/>\nepisode_length&#061;100,<br \/>\nseed&#061;42,<br \/>\n)<\/p>\n<p>\u5176\u4e2d env_name \u6307\u5b9a\u73af\u5883\u540d\u79f0&#xff0c;n_agents \u6307\u5b9a\u667a\u80fd\u4f53\u6570\u91cf&#xff0c;episode_length \u6307\u5b9a\u6bcf\u4e2a\u56de\u5408\u7684\u957f\u5ea6&#xff0c;seed \u7528\u4e8e\u63a7\u5236\u968f\u673a\u6027\u3002<\/p>\n<h4>4.2 \u73af\u5883\u4ea4\u4e92\u63a5\u53e3<\/h4>\n<p>\u73af\u5883\u9075\u5faa OpenAI Gym \u98ce\u683c\u7684\u63a5\u53e3&#xff0c;\u6838\u5fc3\u65b9\u6cd5\u5305\u62ec reset()\u3001step() \u548c render()\u3002<\/p>\n<p>obs &#061; env.reset()<br \/>\ndone &#061; False<br \/>\nwhile not done:<br \/>\n    # \u6bcf\u4e2a\u667a\u80fd\u4f53\u9009\u62e9\u4e00\u4e2a\u52a8\u4f5c<br \/>\n    actions &#061; {agent_idx: env.action_space.sample() for agent_idx in range(env.n_agents)}<br \/>\n    obs, reward, done, info &#061; env.step(actions)<\/p>\n<p>\u6ce8\u610f&#xff1a;ai-economist \u7684 step() \u63a5\u6536\u7684\u662f\u4e00\u4e2a\u5b57\u5178&#xff0c;\u952e\u4e3a\u667a\u80fd\u4f53\u7d22\u5f15&#xff0c;\u503c\u4e3a\u5bf9\u5e94\u52a8\u4f5c&#xff0c;\u800c\u4e0d\u662f\u5355\u4e2a\u52a8\u4f5c\u3002<\/p>\n<h4>4.3 \u8bad\u7ec3\u667a\u80fd\u4f53<\/h4>\n<p>ai-economist \u63d0\u4f9b\u4e86\u57fa\u4e8e tf-agents \u7684\u8bad\u7ec3\u811a\u672c\u3002\u6700\u7b80\u8bad\u7ec3\u6d41\u7a0b\u5982\u4e0b&#xff1a;<\/p>\n<p>from ai_economist import training<br \/>\n\u8bad\u7ec3\u914d\u7f6e<br \/>\nconfig &#061; {<br \/>\n&#034;env_name&#034;: &#034;basic&#034;,<br \/>\n&#034;n_agents&#034;: 5,<br \/>\n&#034;episode_length&#034;: 100,<br \/>\n&#034;num_iterations&#034;: 10000,<br \/>\n&#034;batch_size&#034;: 256,<br \/>\n&#034;learning_rate&#034;: 3e-4,<br \/>\n}<br \/>\n\u542f\u52a8\u8bad\u7ec3<br \/>\ntraining.train(config)<\/p>\n<p>\u8bad\u7ec3\u5b8c\u6210\u540e&#xff0c;\u6a21\u578b\u4f1a\u4fdd\u5b58\u5230\u6307\u5b9a\u76ee\u5f55&#xff0c;\u53ef\u7528\u4e8e\u540e\u7eed\u8bc4\u4f30\u6216\u53ef\u89c6\u5316\u3002<\/p>\n<h4>4.4 \u5e38\u7528\u53c2\u6570\u8bf4\u660e<\/h4>\n<table>\n<tr>\u53c2\u6570\u542b\u4e49\u9ed8\u8ba4\u503c<\/tr>\n<tbody>\n<tr>\n<td>env_name<\/td>\n<td>\u73af\u5883\u540d\u79f0&#xff0c;\u5982 basic\u3001gather\u3001coordination<\/td>\n<td>basic<\/td>\n<\/tr>\n<tr>\n<td>n_agents<\/td>\n<td>\u667a\u80fd\u4f53\u6570\u91cf<\/td>\n<td>5<\/td>\n<\/tr>\n<tr>\n<td>episode_length<\/td>\n<td>\u6bcf\u4e2a\u56de\u5408\u7684\u6700\u5927\u6b65\u6570<\/td>\n<td>100<\/td>\n<\/tr>\n<tr>\n<td>seed<\/td>\n<td>\u968f\u673a\u79cd\u5b50<\/td>\n<td>None<\/td>\n<\/tr>\n<tr>\n<td>num_iterations<\/td>\n<td>\u8bad\u7ec3\u8fed\u4ee3\u6b21\u6570<\/td>\n<td>10000<\/td>\n<\/tr>\n<tr>\n<td>batch_size<\/td>\n<td>\u8bad\u7ec3\u6279\u6b21\u5927\u5c0f<\/td>\n<td>256<\/td>\n<\/tr>\n<tr>\n<td>learning_rate<\/td>\n<td>\u5b66\u4e60\u7387<\/td>\n<td>3e-4<\/td>\n<\/tr>\n<tr>\n<td>use_gpu<\/td>\n<td>\u662f\u5426\u4f7f\u7528 GPU<\/td>\n<td>False<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>5. 9 \u4e2a\u5b9e\u9645\u5e94\u7528\u6848\u4f8b<\/h3>\n<h4>\u6848\u4f8b 1&#xff1a;\u57fa\u7840\u8d44\u6e90\u5206\u914d&#xff08;Basic \u73af\u5883&#xff09;<\/h4>\n<p>\u5728 Basic \u73af\u5883\u4e2d&#xff0c;\u6bcf\u4e2a\u667a\u80fd\u4f53\u62e5\u6709\u4e00\u5b9a\u6570\u91cf\u7684\u52b3\u52a8\u529b\u548c\u8d44\u672c&#xff0c;\u76ee\u6807\u662f\u6700\u5927\u5316\u81ea\u8eab\u6548\u7528\u3002\u901a\u8fc7\u8bad\u7ec3&#xff0c;\u667a\u80fd\u4f53\u53ef\u4ee5\u5b66\u4f1a\u5982\u4f55\u5206\u914d\u8d44\u6e90\u4ee5\u83b7\u5f97\u66f4\u9ad8\u6536\u76ca\u3002<\/p>\n<p>from ai_economist import foundation<br \/>\nenv &#061; foundation.make_env(&#034;basic&#034;, n_agents&#061;3, episode_length&#061;50, seed&#061;1)<br \/>\nobs &#061; env.reset()<br \/>\nprint(&#034;\u521d\u59cb\u89c2\u6d4b:&#034;, obs)<\/p>\n<h4>\u6848\u4f8b 2&#xff1a;\u534f\u4f5c\u52b3\u52a8\u5206\u5de5&#xff08;Coordination \u73af\u5883&#xff09;<\/h4>\n<p>Coordination \u73af\u5883\u8981\u6c42\u591a\u4e2a\u667a\u80fd\u4f53\u534f\u4f5c\u5b8c\u6210\u751f\u4ea7\u4efb\u52a1\u3002\u8bad\u7ec3\u540e\u667a\u80fd\u4f53\u53ef\u4ee5\u5b66\u4f1a\u5206\u5de5\u5408\u4f5c&#xff0c;\u4f8b\u5982\u4e00\u90e8\u5206\u4eba\u91c7\u96c6\u8d44\u6e90&#xff0c;\u53e6\u4e00\u90e8\u5206\u4eba\u52a0\u5de5\u4ea7\u54c1\u3002<\/p>\n<p>env &#061; foundation.make_env(&#034;coordination&#034;, n_agents&#061;4, episode_length&#061;80, seed&#061;2)<br \/>\nobs &#061; env.reset()<\/p>\n<h4>\u6848\u4f8b 3&#xff1a;\u8d44\u6e90\u91c7\u96c6\u4e0e\u7ade\u4e89&#xff08;Gather \u73af\u5883&#xff09;<\/h4>\n<p>Gather \u73af\u5883\u6a21\u62df\u591a\u4e2a\u667a\u80fd\u4f53\u5728\u540c\u4e00\u7247\u571f\u5730\u4e0a\u91c7\u96c6\u8d44\u6e90&#xff0c;\u8d44\u6e90\u6709\u9650&#xff0c;\u667a\u80fd\u4f53\u4e4b\u95f4\u4f1a\u5f62\u6210\u7ade\u4e89\u5173\u7cfb\u3002\u901a\u8fc7\u8bad\u7ec3\u53ef\u4ee5\u89c2\u5bdf\u7ade\u4e89\u7b56\u7565\u7684\u6f14\u5316\u3002<\/p>\n<p>env &#061; foundation.make_env(&#034;gather&#034;, n_agents&#061;6, episode_length&#061;120, seed&#061;3)<br \/>\nobs &#061; env.reset()<\/p>\n<h4>\u6848\u4f8b 4&#xff1a;\u91c7\u96c6-\u6536\u96c6-\u4ea4\u6613&#xff08;Gather-Collect-Trade \u73af\u5883&#xff09;<\/h4>\n<p>\u8be5\u73af\u5883\u5728 Gather \u57fa\u7840\u4e0a\u589e\u52a0\u4e86\u7269\u54c1\u6536\u96c6\u548c\u4ea4\u6613\u73af\u8282&#xff0c;\u667a\u80fd\u4f53\u53ef\u4ee5\u4ea4\u6362\u5404\u81ea\u91c7\u96c6\u5230\u7684\u7269\u54c1&#xff0c;\u4ece\u800c\u5f62\u6210\u5e02\u573a\u3002<\/p>\n<p>env &#061; foundation.make_env(&#034;gather_collect_trade&#034;, n_agents&#061;5, episode_length&#061;100, seed&#061;4)<br \/>\nobs &#061; env.reset()<\/p>\n<h4>\u6848\u4f8b 5&#xff1a;\u7a0e\u6536\u653f\u7b56\u6a21\u62df<\/h4>\n<p>\u7814\u7a76\u8005\u53ef\u4ee5\u5728\u73af\u5883\u4e2d\u52a0\u5165\u7a0e\u6536\u673a\u5236&#xff0c;\u89c2\u5bdf\u4e0d\u540c\u7a0e\u7387\u5bf9\u667a\u80fd\u4f53\u884c\u4e3a\u548c\u6574\u4f53\u798f\u5229\u7684\u5f71\u54cd\u3002ai-economist \u63d0\u4f9b\u4e86\u7a0e\u6536\u7ec4\u4ef6&#xff0c;\u53ef\u4ee5\u65b9\u4fbf\u5730\u914d\u7f6e\u7a0e\u7387\u3002<\/p>\n<p>from ai_economist.foundation.components import Tax<br \/>\n\u5728\u81ea\u5b9a\u4e49\u73af\u5883\u4e2d\u52a0\u5165\u7a0e\u6536\u7ec4\u4ef6<br \/>\ntax &#061; Tax(rate&#061;0.2)<\/p>\n<h4>\u6848\u4f8b 6&#xff1a;\u8865\u8d34\u653f\u7b56\u6a21\u62df<\/h4>\n<p>\u4e0e\u7a0e\u6536\u76f8\u5bf9&#xff0c;\u8865\u8d34\u673a\u5236\u53ef\u4ee5\u6fc0\u52b1\u7279\u5b9a\u884c\u4e3a\u3002\u4f8b\u5982\u5bf9\u73af\u4fdd\u884c\u4e3a\u8fdb\u884c\u8865\u8d34&#xff0c;\u89c2\u5bdf\u667a\u80fd\u4f53\u662f\u5426\u4f1a\u56e0\u6b64\u6539\u53d8\u751f\u4ea7\u7b56\u7565\u3002<\/p>\n<p>from ai_economist.foundation.components import Subsidy<br \/>\nsubsidy &#061; Subsidy(target&#061;&#034;green_production&#034;, amount&#061;0.1)<\/p>\n<h4>\u6848\u4f8b 7&#xff1a;\u591a\u667a\u80fd\u4f53\u535a\u5f08\u5206\u6790<\/h4>\n<p>\u901a\u8fc7\u8bbe\u7f6e\u4e0d\u540c\u7684\u6548\u7528\u51fd\u6570&#xff0c;\u53ef\u4ee5\u6a21\u62df\u56da\u5f92\u56f0\u5883\u3001\u516c\u5171\u54c1\u535a\u5f08\u7b49\u7ecf\u5178\u535a\u5f08\u573a\u666f&#xff0c;\u7814\u7a76\u667a\u80fd\u4f53\u5728\u91cd\u590d\u535a\u5f08\u4e2d\u7684\u5408\u4f5c\u4e0e\u80cc\u53db\u884c\u4e3a\u3002<\/p>\n<p>env &#061; foundation.make_env(&#034;basic&#034;, n_agents&#061;2, episode_length&#061;200, seed&#061;5)<\/p>\n<h4>\u6848\u4f8b 8&#xff1a;\u81ea\u5b9a\u4e49\u6548\u7528\u51fd\u6570<\/h4>\n<p>ai-economist \u5141\u8bb8\u7814\u7a76\u8005\u81ea\u5b9a\u4e49\u667a\u80fd\u4f53\u7684\u6548\u7528\u51fd\u6570&#xff0c;\u4ece\u800c\u6a21\u62df\u4e0d\u540c\u504f\u597d\u4e0b\u7684\u7ecf\u6d4e\u884c\u4e3a\u3002<\/p>\n<p>from ai_economist.foundation.agents import Agent<br \/>\nclass MyAgent(Agent):<br \/>\ndef utility(self, state):<br \/>\n# \u81ea\u5b9a\u4e49\u6548\u7528\u8ba1\u7b97\u903b\u8f91<br \/>\nreturn state[&#034;consumption&#034;] ** 0.5<\/p>\n<h4>\u6848\u4f8b 9&#xff1a;\u8bad\u7ec3\u7ed3\u679c\u53ef\u89c6\u5316<\/h4>\n<p>ai-economist \u63d0\u4f9b\u4e86\u53ef\u89c6\u5316\u5de5\u5177&#xff0c;\u53ef\u4ee5\u7ed8\u5236\u667a\u80fd\u4f53\u7684\u6536\u76ca\u66f2\u7ebf\u3001\u8d44\u6e90\u5206\u5e03\u7b49&#xff0c;\u5e2e\u52a9\u7814\u7a76\u8005\u76f4\u89c2\u7406\u89e3\u8bad\u7ec3\u8fc7\u7a0b\u3002<\/p>\n<p>from ai_economist import visualization<br \/>\nvisualization.plot_rewards(training_logs)<\/p>\n<h3>6. \u5e38\u89c1\u9519\u8bef\u4e0e\u4f7f\u7528\u6ce8\u610f\u4e8b\u9879<\/h3>\n<h4>6.1 \u5e38\u89c1\u9519\u8bef<\/h4>\n<ul>\n<li>\u7248\u672c\u4e0d\u517c\u5bb9&#xff1a;ai-economist \u4f9d\u8d56 TensorFlow 2.x&#xff0c;\u5982\u679c\u5b89\u88c5\u4e86 TensorFlow 1.x \u6216 3.x&#xff0c;\u4f1a\u5bfc\u81f4\u5bfc\u5165\u5931\u8d25\u6216\u8fd0\u884c\u5f02\u5e38\u3002<\/li>\n<li>\u52a8\u4f5c\u5b57\u5178\u683c\u5f0f\u9519\u8bef&#xff1a;step() \u65b9\u6cd5\u8981\u6c42\u4f20\u5165\u5b57\u5178\u683c\u5f0f\u7684\u52a8\u4f5c&#xff0c;\u5982\u679c\u4f20\u5165\u5355\u4e2a\u52a8\u4f5c\u6216\u5217\u8868&#xff0c;\u4f1a\u629b\u51fa\u7c7b\u578b\u9519\u8bef\u3002<\/li>\n<li>\u73af\u5883\u540d\u79f0\u62fc\u5199\u9519\u8bef&#xff1a;make_env \u4e2d\u7684 env_name \u5fc5\u987b\u4e0e\u6ce8\u518c\u7684\u73af\u5883\u540d\u79f0\u5b8c\u5168\u4e00\u81f4&#xff0c;\u5426\u5219\u4f1a\u62a5\u9519\u3002<\/li>\n<li>\u5185\u5b58\u4e0d\u8db3&#xff1a;\u5f53\u667a\u80fd\u4f53\u6570\u91cf\u6216\u56de\u5408\u957f\u5ea6\u8bbe\u7f6e\u8fc7\u5927\u65f6&#xff0c;\u53ef\u80fd\u9020\u6210\u5185\u5b58\u6ea2\u51fa&#xff0c;\u5efa\u8bae\u9002\u5f53\u8c03\u5c0f\u53c2\u6570\u3002<\/li>\n<li>GPU \u663e\u5b58\u4e0d\u8db3&#xff1a;\u4f7f\u7528 GPU \u8bad\u7ec3\u65f6&#xff0c;\u5982\u679c batch_size \u8fc7\u5927&#xff0c;\u53ef\u80fd\u89e6\u53d1\u663e\u5b58\u4e0d\u8db3\u9519\u8bef&#xff0c;\u9700\u8981\u51cf\u5c0f batch_size\u3002<\/li>\n<\/ul>\n<h4>6.2 \u4f7f\u7528\u6ce8\u610f\u4e8b\u9879<\/h4>\n<ul>\n<li>\u4f7f\u7528\u865a\u62df\u73af\u5883&#xff1a;\u5efa\u8bae\u5728\u72ec\u7acb\u7684\u865a\u62df\u73af\u5883\u4e2d\u5b89\u88c5&#xff0c;\u907f\u514d\u4e0e\u9879\u76ee\u5176\u4ed6\u4f9d\u8d56\u51b2\u7a81\u3002<\/li>\n<li>\u56fa\u5b9a\u968f\u673a\u79cd\u5b50&#xff1a;\u5728\u5b9e\u9a8c\u4e2d\u4f7f\u7528\u56fa\u5b9a seed&#xff0c;\u4fdd\u8bc1\u7ed3\u679c\u53ef\u590d\u73b0\u3002<\/li>\n<li>\u5408\u7406\u8bbe\u7f6e\u56de\u5408\u957f\u5ea6&#xff1a;\u56de\u5408\u957f\u5ea6\u8fc7\u77ed\u4f1a\u5bfc\u81f4\u667a\u80fd\u4f53\u65e0\u6cd5\u5145\u5206\u5b66\u4e60&#xff0c;\u8fc7\u957f\u5219\u8bad\u7ec3\u65f6\u95f4\u663e\u8457\u589e\u52a0\u3002<\/li>\n<li>\u76d1\u63a7\u8bad\u7ec3\u65e5\u5fd7&#xff1a;\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u5e94\u5b9a\u671f\u67e5\u770b\u65e5\u5fd7&#xff0c;\u53ca\u65f6\u53d1\u73b0\u5956\u52b1\u4e0d\u6536\u655b\u6216\u5f02\u5e38\u6ce2\u52a8\u3002<\/li>\n<li>\u4fdd\u5b58\u6a21\u578b&#xff1a;\u8bad\u7ec3\u5b8c\u6210\u540e\u53ca\u65f6\u4fdd\u5b58\u6a21\u578b&#xff0c;\u65b9\u4fbf\u540e\u7eed\u8bc4\u4f30\u548c\u90e8\u7f72\u3002<\/li>\n<li>\u67e5\u9605\u5b98\u65b9\u6587\u6863&#xff1a;ai-economist \u7684 API \u66f4\u65b0\u8f83\u5feb&#xff0c;\u4f7f\u7528\u524d\u5efa\u8bae\u67e5\u9605\u5b98\u65b9 GitHub \u4ed3\u5e93\u548c\u6587\u6863&#xff0c;\u786e\u8ba4\u5f53\u524d\u7248\u672c\u652f\u6301\u7684\u63a5\u53e3\u3002<\/li>\n<\/ul>\n<h3>7. \u603b\u7ed3<\/h3>\n<p>ai-economist \u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u591a\u667a\u80fd\u4f53\u7ecf\u6d4e\u6a21\u62df\u6846\u67b6&#xff0c;\u9002\u5408\u7ecf\u6d4e\u5b66\u7814\u7a76\u8005\u3001\u5f3a\u5316\u5b66\u4e60\u7231\u597d\u8005\u548c\u653f\u7b56\u6a21\u62df\u4eba\u5458\u4f7f\u7528\u3002\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd&#xff0c;\u8bfb\u8005\u53ef\u4ee5\u5feb\u901f\u638c\u63e1\u5176\u5b89\u88c5\u65b9\u6cd5\u3001\u6838\u5fc3\u8bed\u6cd5\u548c\u53c2\u6570\u914d\u7f6e&#xff0c;\u5e76\u501f\u52a9 9 \u4e2a\u5b9e\u9645\u6848\u4f8b\u7406\u89e3\u5176\u5178\u578b\u5e94\u7528\u573a\u666f\u3002\u5728\u5b9e\u9645\u4f7f\u7528\u4e2d&#xff0c;\u6ce8\u610f\u7248\u672c\u517c\u5bb9\u3001\u53c2\u6570\u8bbe\u7f6e\u548c\u8bad\u7ec3\u76d1\u63a7&#xff0c;\u53ef\u4ee5\u6709\u6548\u907f\u514d\u5e38\u89c1\u9519\u8bef&#xff0c;\u63d0\u5347\u7814\u7a76\u6548\u7387\u3002<\/p>\n<p>\u00a0<\/p>\n<p>\u300aAI\u63d0\u793a\u5de5\u7a0b\u5fc5\u77e5\u5fc5\u4f1a\u300b\u4e3a\u8bfb\u8005\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684AI\u63d0\u793a\u5de5\u7a0b\u77e5\u8bc6\u4e0e\u5b9e\u6218\u6280\u80fd&#xff0c;\u4e3b\u8981\u5305\u62ec\u5404\u7c7b\u63d0\u793a\u8bcd\u7684\u5e94\u7528&#xff0c;\u5982\u95ee\u7b54\u5f0f\u3001\u6307\u4ee4\u5f0f\u3001\u72b6\u6001\u7c7b\u3001\u5efa\u8bae\u5f0f\u3001\u5b89\u5168\u7c7b\u548c\u611f\u8c22\u7c7b\u63d0\u793a\u8bcd&#xff0c;\u4ee5\u53ca\u5982\u4f55\u901a\u8fc7\u5b9e\u6218\u6f14\u7ec3\u638c\u63e1\u63d0\u793a\u8bcd\u7684\u4f7f\u7528\u6280\u5de7&#xff1b;\u4f7f\u7528\u63d0\u793a\u8bcd\u8fdb\u884c\u6587\u672c\u6458\u8981\u3001\u6539\u5199\u91cd\u8ff0\u3001\u8bed\u6cd5\u7ea0\u9519\u3001\u673a\u5668\u7ffb\u8bd1\u7b49\u8bed\u8a00\u5904\u7406\u4efb\u52a1&#xff0c;\u4ee5\u53ca\u5728\u6570\u636e\u6316\u6398\u3001\u7a0b\u5e8f\u5f00\u53d1\u7b49\u9886\u57df\u7684\u5e94\u7528&#xff1b;AI\u5728\u7ed8\u753b\u521b\u4f5c\u4e0a\u7684\u5e94\u7528&#xff0c;\u767e\u5ea6\u6587\u5fc3\u4e00\u8a00\u548c\u963f\u91cc\u901a\u4e49\u5927\u6a21\u578b\u8fd9\u4e24\u5927\u667a\u80fd\u5e73\u53f0\u7684\u7279\u6027\u4e0e\u529f\u80fd&#xff0c;\u4ee5\u53ca\u5e02\u573a\u8c03\u7814\u4e2d\u63d0\u793a\u8bcd\u7684\u5b9e\u6218\u5e94\u7528\u3002\u901a\u8fc7\u9605\u8bfb\u300aAI\u63d0\u793a\u5de5\u7a0b\u5fc5\u77e5\u5fc5\u4f1a\u300b&#xff0c;\u8bfb\u8005\u53ef\u638c\u63e1\u5982\u4f55\u6709\u6548\u5229\u7528AI\u63d0\u793a\u5de5\u7a0b\u63d0\u5347\u5de5\u4f5c\u6548\u7387&#xff0c;\u521b\u65b0\u5de5\u4f5c\u6d41\u7a0b&#xff0c;\u5e76\u5728\u804c\u573a\u4e2d\u8131\u9896\u800c\u51fa\u3002<\/p>\n<p style=\"text-align:center\"><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/11\/20261108092450-6af03fe28f0e6.jpg\" \/><\/p>\n<p>\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>1. \u5f15\u8a00ai-economist \u662f Salesforce Research \u5f00\u6e90\u7684\u4e00\u4e2a\u57fa\u4e8e\u5f3a\u5316\u5b66\u4e60\u7684\u591a\u667a\u80fd\u4f53\u7ecf\u6d4e\u6a21\u62df\u6846\u67b6&#xff0c;\u5b83\u628a\u7ecf\u6d4e\u5b66\u5efa\u6a21\u4e0e\u6df1\u5ea6\u5f3a\u5316\u5b66\u4e60\u7ed3\u5408\u8d77\u6765&#xff0c;\u8ba9\u7814\u7a76\u8005\u53ef\u4ee5\u7528 Python \u6784\u5efa\u5305\u542b\u591a\u4e2a\u667a\u80fd\u4f53&#xff08;agent&#xff09;\u7684\u865a\u62df\u7ecf\u6d4e\u73af\u5883&#xff0c;\u5e76\u901a\u8fc7\u8bad\u7ec3\u667a\u80fd\u4f53\u5b66\u4f1a\u5408\u4f5c\u3001\u7ade\u4e89\u3001\u7a0e\u6536\u3001\u8865\u8d34\u7b49\u7ecf\u6d4e\u884c\u4e3a\u3002\u672c\u6587\u5c06\u4ece\u529f\u80fd\u3001\u5b89\u88c5\u3001\u6838\u5fc3\u8bed\u6cd5\u4e0e\u53c2\u6570\u30019 \u4e2a\u5b9e\u9645\u5e94\u7528\u6848\u4f8b\u4ee5\u53ca\u5e38\u89c1\u9519\u8bef\u4e0e\u6ce8\u610f\u4e8b\u9879\u4e94\u4e2a\u65b9\u9762&#xff0c;\u7cfb\u7edf\u4ecb\u7ecd\u8fd9\u4e2a\u5305<\/p>\n","protected":false},"author":2,"featured_media":123999,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[81,50,323,190,176],"topic":[],"class_list":["post-124000","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-python","tag-50","tag-323","tag-190","tag-176"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Python ai-economist \u5305\u5b9e\u6218\u6848\u4f8b\u4e0e\u5e38\u89c1\u9519\u8bef - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/124000.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python ai-economist \u5305\u5b9e\u6218\u6848\u4f8b\u4e0e\u5e38\u89c1\u9519\u8bef - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"og:description\" content=\"1. \u5f15\u8a00ai-economist \u662f Salesforce Research \u5f00\u6e90\u7684\u4e00\u4e2a\u57fa\u4e8e\u5f3a\u5316\u5b66\u4e60\u7684\u591a\u667a\u80fd\u4f53\u7ecf\u6d4e\u6a21\u62df\u6846\u67b6&#xff0c;\u5b83\u628a\u7ecf\u6d4e\u5b66\u5efa\u6a21\u4e0e\u6df1\u5ea6\u5f3a\u5316\u5b66\u4e60\u7ed3\u5408\u8d77\u6765&#xff0c;\u8ba9\u7814\u7a76\u8005\u53ef\u4ee5\u7528 Python 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