The most popular large-scale model framework LangChain's seven cores and case analysis (2)

The seven cores and case analysis of LangChain, the most popular large-scale model framework

10.3 Prompt analysis and case analysis

There are several specific concepts in LangChain. The first one is the prompt word template (PromptTemplate), as shown in Figure 10-21:
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Figure 10- 21 PromptTemplate
If you have programming experience, you can roughly know its function by looking at the name. It provides an encapsulation template. When inputting, you only need to enter some key information and fill in the content of the placeholder. Send it to the large model (OpenAI, cohere) to get the response information of the large model.
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Let's take a look at the code app.py of the "LangChain GPT content creator" example:

1.	import os
2.	from apikey import apikey

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Origin blog.csdn.net/duan_zhihua/article/details/131732166