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AI
English editions of Guozhen AI articles. The text is localized for global readers while the original diagrams, screenshots, and code examples remain aligned with the Chinese source.
Integrate OpenAI model
LangChain’s core concepts can be connected sequentially along a data flow: user input first enters a prompt template; the templated prompt is then passed to a language mo...
Read lessonInitialize the language model
LangChain’s value lies in organizing models, prompts, retrieval, tools, and output parsing into composable code structures. Don’t mistake it for a new model—it’s more lik...
Read lessonIn the previous article, we thoroughly explored LangChain’s background and design goals, gaining insight into its significance and potential in modern applications. Next, we’ll dive into concrete, real-world use cases to demonstrate how LangChain empowers developers and enterprises—and boosts productivity.
LangChain excels at integrating large language models (LLMs) into real world workflows—especially tasks that require reading documents, invoking external tools, or produc...
Read lessonLangChain Zero to Hero: Part 1 — Getting Started
I approach LangChain onboarding as an application pipeline : Where does input come from? How are prompts structured? How are models invoked? And how are results validated...
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