Hands-On LangChain for LLM Applications Development: Prompt Templates
By prompting an LLM or large language model, it is possible to develop complex AI applications much faster than ever before. However, an application can require prompting an LLM multiple times and parsing its output, so a lot of glue code must be written.
LangChain makes this development process much easier by using an easy set of abstractions to do this type of operation and by providing prompt templates.
In this article, we will cover prompt templates why it is important, and how to use them effectively explained with practical examples.
Table of Contents:
Setting Up Working Environment & Getting Started
Prompt Template using LangChain
Why do We Need LangChain Prompt Templates?
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