10.1 Models analysis and case analysis
This
section officially enters the part of LangChain, the most popular large-scale model development framework in the open source industry, and will explain the problems solved by LangChain and its working mechanism. Through a specific case of "LangChain GPT Content Creator", we will lead you through some of its core components and explain the development process In this process, different concepts will be involved, such as: Models, Prompts, Memory, Chains, etc. We will use the specific code of the case to show you in detail and explain how to use it.
As shown in Figure 10-1, let's first look at the basic operation effect of "LangChain GPT content creator".
Figure 10-1 Schematic diagram of the LangChain GPT content creator
page On the "LangChain GPT Content Creator" page, you can enter some keywords, phrases or sentences. In this case, the LangChain framework will generate an attractive title (Title) behind the scenes based on the content topic (Topic) you input. age Learning Industry: The Future of Language Education" ("How LangChain Disrupts the Language Learning Industry: The Future of Language Education"