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A collection of GenAI experiments, implementations, and trial-and-error explorations. This repository documents various models, techniques, and applications, including bots, assistants, and other AI-driven projects. Whether you're looking for inspiration, debugging insights, or full-fledged implementations, you'll find a mix of structured projects.

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πŸš€ Generative AI Playground

Welcome to Generative AI Playground, a dynamic repository documenting my journey through generative AIβ€”experiments, implementations, trial-and-error explorations, and AI-powered assistants. This space serves as both a learning hub and a playground for building, breaking, and refining AI models.


πŸ“Œ What's Inside?

πŸ”Ή Generative AI Implementations – Text, image, and other multimodal models
πŸ”Ή AI Assistants & Bots – Chatbots, RAG-based assistants, and automation tools
πŸ”Ή Experiment Logs – Debugging notes, model fine-tuning, and iterative improvements
πŸ”Ή Trial & Error – Failed attempts, lessons learned, and alternative approaches


πŸ”§ How to Use This Repo?

  • Explore different AI models and their implementations.
  • Learn from real-world debugging and iterative improvements.
  • Contribute ideas, suggest improvements, or fork experiments.

πŸš€ Get Started

1️⃣ Clone the repo:

git clone https://github.com/theharshithr/Generative-AI-Playground
cd  Generative-Ai-Playground

2️⃣ Set up dependencies:

pip install -r requirements.txt

3️⃣ Run the experiments and tweak the models!


🀝 Contributing

πŸ’‘ Found an interesting approach? Encountered an issue? Feel free to open a discussion or submit a pull request!


πŸ“¬ Connect with Me

πŸ“§ Email: rharshith1868@gmail.com

Let’s build, break, and innovate together! πŸš€πŸ€–


Currently working on it....

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A collection of GenAI experiments, implementations, and trial-and-error explorations. This repository documents various models, techniques, and applications, including bots, assistants, and other AI-driven projects. Whether you're looking for inspiration, debugging insights, or full-fledged implementations, you'll find a mix of structured projects.

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