Large Language Model Exercises with JavaScript

Welcome to the "Large Language Model Exercises with JavaScript" repository! This repository is designed to provide you with hands-on exercises and examples for working with large language models using the JavaScript programming language. Whether you're new to language models or a seasoned developer, these exercises will help you gain practical experience and insights into harnessing the power of large language models like GPT-3.5.

Key Features

Clear Setup and Configuration: The repository provides step-by-step instructions to set up your environment, including API key configuration, ensuring you are ready to begin experimenting with the language model.

Modularized Examples: The code examples are thoughtfully organized into functions, demonstrating various aspects of working with the GPT-3.5 model, such as sending user queries, generating responses, and utilizing system prompts.

Interactive Conversations: Through interactive chat simulations, you will learn how to engage the language model in dynamic conversations, exchange messages, and interpret its responses effectively.

Customization and Flexibility: Learn how to customize the temperature parameter to control the creativity of generated responses, allowing you to fine-tune the balance between coherence and innovation.

Error Handling: The provided examples incorporate error handling strategies, ensuring that you are equipped to handle potential issues that may arise during interactions with the API.

Contributions Welcome: We encourage you to contribute your own exercises, enhancements, and bug fixes to help the community further explore the capabilities of OpenAI's language models.

Getting Started

Before you begin, make sure you have the following prerequisites:

• Basic understanding of JavaScript programming.
• An OpenAI API key for accessing the GPT-3.5 model (instructions in the "Setting Up Your Environment" section).
• Node.js and npm (Node Package Manager) installed on your machine.

Setting Up Your Environment

1. OpenAI API Key Setup

   • Visit the OpenAI website to sign up for an API key if you don't have one.
   • Follow the instructions to obtain your API key.

2. Repository Clone

   • Clone this repository to your local machine using:

     git clone /~https://github.com/ehsanghaffar/large-language-model-exercises.git

3. Install Dependencies

   • Navigate to the repository's directory:

     cd large-language-model-exercises

   • Install the required Node.js packages:

     npm install

4. API Key Configuration

   • Create a .env file in the root directory.

   • Add your OpenAI API key to the .env file:

     OPENAI_API_KEY=your-api-key-goes-here

Exercise Directory

In the exercises directory, you will find a collection of exercises designed to cover various aspects of working with large language models using JavaScript. Each exercise comes with a description, sample code, and instructions.

Contributing

We welcome contributions to this repository! If you have additional exercises, improvements, or bug fixes, please follow these steps:

1. Fork the repository to your GitHub account.

2. Create a new branch for your changes:

   git checkout -b feature/add-new-exercise

3. Make your modifications and additions.

4. Commit your changes with clear and concise messages:

   git commit -m "Add exercise: interacting with language model"

5. Push your changes to your forked repository:

   git push origin feature/add-new-exercise

6. Create a pull request on the original repository.

License

This repository is licensed under the MIT License, which means you are free to use, modify, and distribute the content for educational and non-commercial purposes.

Let's dive into the world of large language models and JavaScript! Happy coding!