LangChain Reusability: Saving and Loading PromptTemplates with JSON | Video #10 скачать в хорошем качестве

LangChain Reusability: Saving and Loading PromptTemplates with JSON | Video #10

Efficiency is key in AI development! 🚀 In Video #10 of our LangChain Full Course, we take our prompt engineering to a professional level by focusing on Reusability. I will show you how to move beyond static prompts and master the PromptTemplate class from langchain_core. You'll learn how to create dynamic templates with runtime variables and, most importantly, how to save your hard-earned prompts as JSON files. This allows you to store your prompt logic externally, version control it, and load it into any part of your application without rewriting a single line of code. ✅ In this tutorial, we cover: Dynamic Prompting: Using placeholders like {n} and {location_name} to inject data at runtime. The JSON Advantage: Why saving templates to .json files is a best practice for production apps. Code Walkthrough: Step-by-step guide to using template.save() and load_prompt(). The Streamlit Vision: How dynamic, reusable prompts pave the way for professional Front-End AI applications. Practical Demo: Managing a "Top Tourist Places" prompt across different locations dynamically. 🚀 Follow the Full Course Playlist here:    • LangChain Full Course: Step-by-Step Tutori...   #LangChain #PromptEngineering #GenerativeAI #PythonAI #AITutorial #JSON #CodingBestPractices #OpenAI #LLM #LangChainCore #SoftwareEngineering #AIApps #ReusableCode #LearnPython