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图解大模型 : 生成式AI 原理与实战
book

图解大模型 : 生成式AI 原理与实战

by Jay Alammar, Maarten Grootendorst
May 2025
Intermediate to advanced
382 pages
10h 33m
Chinese
Posts & Telecom Press
Content preview from 图解大模型 : 生成式AI 原理与实战
190
7
这些中间步骤揭示了模型处理
ReAct
模板的具体机制,并列出了其所调用的工具。这使我
们能够有效调试问题,同时验证智能体是否正确使用了工具。
完成后,模型给出如下输出:
{'input': 'What is the current price of a MacBook Pro in USD? How much would
it cost in EUR if the exchange rate is 0.85 EUR for 1 USD?',
'output': 'The current price of a MacBook Pro in USD is $2,249.00. It would
cost approximately 1911.65 EUR with an exchange rate of 0.85 EUR for 1 USD.'}
考虑到智能体可使用的工具较为有限,其表现已足够令人惊艳。仅凭搜索引擎与计算器,
智能体便能准确输出答案。
但答案的准确性仍需审慎考量。通过赋予智能体这种相对自主的行为,我们并未介入中间
步骤的验证环节,这意味着人类并未参与输出质量或推理逻辑的有效性判断。
这种两面性要求我们在系统设计中建立可靠性保障机制。例如,可要求智能体返回查询
MacBook Pro
价格时引用的网站
URL
,或在每个操作步骤后增加结果正确性确认环节。
7.5
 小结
本章系统探讨了通过模块化组件扩展
LLM
功能的多种路径。我们首先构建了简洁可复用
的链式架构,将
LLM
与提示词模板动态连接。继而引入记忆增强机制 ...
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Publisher Resources

ISBN: 9787115670830