LLM Model Implementation using OpenAI API via LangChain Framework

Description

In this video, we perform Experiment 1 from the Prompt Engineering Laboratory where we demonstrate how to interact with a Large Language Model using the Gemini API through the LangChain Framework. This includes setting up the environment, configuring API key, writing Python script and generating a response from the Gemini model using prompt-based input. This practical is useful for Prompt Engineering students, AI Developers, Machine Learning beginners, Data Science students & anyone learning how to integrate Google Gemini models into Python. What you will learn in this video? Foundations of Prompt Engineering LangChain Setup & Configuration How to use Gemini API Key securely Simple prompt → response execution using LangChain Complete Step-by-Step demonstration of Experiment 1 Tools Used: Python LangChain python-dotenv Gemini API If this video helped you, Like 👍 | Comment 💬 | Share 🎯 | Subscribe 🔔 for more Prompt Engineering Lab Experiments!