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Day Zero Pomegranate

Where AI Knowledge Grows From Zero to Hero

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🤖 GenAI_DayZero

Embark on a transformative journey into the world of Generative AI, where we turn complex concepts into actionable knowledge.

Stars Forks Python License PRs Welcome

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🌟 Why This Repository?

🔥 Trending 💼 In-Demand 🚀 Future-Ready
GenAI is revolutionizing industries Companies are actively hiring AI experts Shape the future of technology

🎯 Why Learn These Technologies?

Large Language Models (LLMs) 🧠

  • Industry Impact: Powering next-gen applications in customer service, content creation, and code generation
  • Market Growth: The LLM market is projected to reach $36B by 2025
  • Applications:
    • Automated customer support
    • Content generation at scale
    • Code assistance and documentation
    • Language translation and localization

Retrieval Augmented Generation (RAG) 📚

  • Why Important:
    • Reduces hallucinations in AI responses
    • Enables real-time knowledge updates
    • Maintains data privacy and control
  • Use Cases:
    • Enterprise knowledge bases
    • Legal document analysis
    • Medical research assistance
    • Educational content creation

Vector Databases (AstraDB) 🎯

  • Key Benefits:
    • Efficient similarity search
    • Scalable data storage
    • Real-time processing
  • Applications:
    • Recommendation systems
    • Image and text search
    • Fraud detection
    • Pattern recognition
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🎯 Learning Outcomes

mindmap
  root((GenAI Skills))
    LLM Architecture
      Transformer Models
      Attention Mechanisms
      Token Embeddings
    RAG Systems
      Vector Databases
      Similarity Search
      Knowledge Retrieval
    Fine-tuning
      Model Optimization
      Transfer Learning
      Custom Training
    Applications
      Chatbots
      Search Engines
      Content Generation
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🚀 Getting Started

# Clone the repository
git clone https://github.com/ssbaraar/GenAI_DayZero.git

# Navigate to the project directory
cd GenAI_DayZero

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install required packages
pip install -r requirements.txt

# Start your learning journey!
jupyter notebook

💻 Prerequisites

🐍 🧮 💻 🧠
Python 3.8+ Basic Math Git & GitHub Eagerness to Learn

🤝 Join Our Community

👨‍💻 About the Author

Author

AI Engineer | Full Stack Developer | Cloud Enthusiast

LinkedIn Email Twitter
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Made with ❤️ by Sreesha Braar Line Break