Genai Everyday

A repository focused on exploring and applying generative AI (GenAI), aiming to help users learn and experiment with the application of GenAI in daily tasks, including writing, programming, image generation, etc., through practical cases and resource sharing.

Artificial intelligence chatbots Education and learning tools #Generative AI #Practical cases #Learning resources #Code examples .Python

rating : 2.5 points

downloads : 28

update time : 2025-04-29

What is GENAI EVERYDAY?

This is an open-source knowledge base focused on the practical applications of generative artificial intelligence (GENAI). By collecting and organizing prompt templates, code examples, and use cases, it helps ordinary users easily integrate AI technology into their daily work and life.

How to use GENAI EVERYDAY?

You can obtain the required resources by browsing the directory structure: directly copy prompts to AI tools for use, run code examples to learn API calls, or refer to tutorials to gradually implement specific functions.

Applicable scenarios

It is suitable for scenarios such as content creation, programming assistance, learning and research, and efficiency tool development. It is especially suitable for users who want to quickly apply AI technology but lack a professional background.

Main features

Prompt libraryClassify and organize high-quality prompt templates suitable for different AI models (ChatGPT/Claude/Stable Diffusion, etc.)

Code snippetsProvide ready-to-use code examples in languages such as Python, demonstrating the actual calling methods of mainstream AI APIs and libraries

Learning pathHelp users master generative AI application skills from basic to advanced through structured tutorials

Advantages and limitations

Advantages

Zero-threshold entry: You can quickly apply it without professional AI knowledge

Practice-oriented: All resources have been actually verified

Continuous update: Keep the content up-to-date following the development of AI technology

Limitations

Some examples require basic programming skills

The model effect depends on the availability of third-party APIs

Currently, there are relatively few Chinese resources

How to use

Clone the repository

Copy the project to your local machine to freely use all resources

Explore the directory

Browse directories such as prompts (prompts) and code-examples (code examples) according to your needs

Run the examples

Execute Python example scripts after installing the dependencies (you need to configure the API key)

Usage examples

Automatically generate weekly reportsUse preset prompt templates to let AI automatically generate structured weekly reports based on work records

Code explanationExplain the running logic of complex code snippets through AI

Frequently Asked Questions

Do I need to pay to use it?

How can I contribute my own prompts or code?

Related resources

OpenAI official documentation

The complete reference documentation for the OpenAI API

Hugging Face courses

Free introductory courses on generative AI

🚀 Daily Exploration of Generative AI

This repository is dedicated to exploring, experimenting with, and applying generative AI (GenAI) concepts and tools in daily scenarios. Whether you're learning, building small tools, or curious about integrating GenAI into your daily tasks, this is the place to share and discover.

🚀 Quick Start

Clone the Repository

git clone https://github.com/tushar2704/GENAI-EVERYDAY.git
cd GENAI-EVERYDAY

Explore the Directories

Browse the folders listed above (e.g., /prompts, /code-examples, etc.) to find resources relevant to your interests.

(Optional) Set Up the Environment (if running code)

# Create a virtual environment (recommended)
python -m venv venv
source venv/bin/activate # Use `venv\Scripts\activate` on Windows

# Install dependencies (if there is a requirements.txt file)
pip install -r requirements.txt

Use the Resources

Copy prompts, adapt code snippets, and follow tutorials for your own projects or learning.

✨ Features

Break Down Complex Concepts: Simplify complex ideas through easy - to - understand real - world examples.
Showcase Practical Applications: Demonstrate how GenAI can be used for common tasks (writing, coding, image creation, brainstorming, etc.).
Promote Learning: Provide a space for learning notes, code snippets, and example prompts.
Encourage Experimentation: Serve as a sandbox to test different models, APIs, and technologies.
Collect Resources: Organize useful tips, scripts, and resources related to daily GenAI use.

📦 Repository Content

This repository may contain various resources, potentially organized in the following structure (please update according to the actual content!):

/prompts: A collection of effective prompts for various tasks (e.g., email drafting, creative writing, code explanation, image generation).
- /prompts/chatgpt
- /prompts/claude
- /prompts/stable - diffusion
/code - examples: Simple scripts or notebook examples interacting with GenAI APIs or libraries.
- /code - examples/python/openai - api
- /code - examples/python/huggingface - transformers
/tutorials: Step - by - step guides for specific GenAI tasks or tools in daily use.
/use - cases: Examples and discussions on how to apply GenAI to solve specific real - world problems.
/resources: Useful links, including articles, tools, APIs, and other learning materials.
/notes: Personal learning notes or summaries on GenAI topics.

🔧 Technical Details

This repository may utilize or discuss the following:

Languages: Python, Markdown
Platforms/APIs: OpenAI API (GPT - 4, GPT - 3.5), Anthropic API (Claude), Hugging Face (Transformers, Rift), locally run models
Other Tools and Technologies: GitHub Actions, PyTorch, TensorFlow, etc.