GDG on Campus University of Management and Technology - Lahore, Pakistan
In this lecture, students will explore the concept of chains in LangChain, learning how to link multiple components together to create powerful AI-driven workflows. They will gain hands-on experience in building and customizing chains for efficient task automation.
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This session focuses on the core concept of chains in LangChain, which allow developers to combine multiple steps into a seamless workflow. Students will learn how to design and implement different types of chains, including simple sequential chains and more advanced logic-based chains. Through interactive coding exercises, they will build and customize chains that process inputs, interact with LLMs, and generate meaningful responses. By the end of the lecture, students will be able to construct and optimize LangChain pipelines for various real-world applications.
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