Learn by Doing - Build 50 Gen AI Projects from Scratch

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AI Summary

Summary Outline

1. Introduction to AI Learning Series
   • Creation of over 50 generative AI applications from scratch.
   • Target audience: individuals seeking to stay ahead of AI trends and those recognizing AI’s transformative power.
2. Goals of the Series
   • Master AI to remain competitive in the job market.
   • Understand AI’s potential to create new opportunities despite job disruption.
3. Content of the Series
   • Starting with basic applications using open-source models:
     • YouTube transcript summarizer.
     • User feedback sentiment analysis.
     • Translation tool.
     • Object detector.
   • Progressing to more complex projects:
     • Image generation tool like Stable Diffusion.
     • Chatbot similar to ChatGPT.
     • Basic and advanced retrieval-augmented generation (RAG) applications.
     • Multi-agent systems.
   • Deployment of applications to Hugging Face Spaces.
4. Learning Approach
   • Blending theoretical knowledge with hands-on practice.
   • Primary use of Python, suitable for beginners.
   • Comprehensive guidance through each step.
5. Tools and Platforms
   • Hugging Face Spaces: hosting pre-trained models, datasets, and deployment of web apps.
   • Gradio: building and sharing machine learning apps with minimal code.
   • Streamlit and Civit AI: to be covered in future videos for more complex applications.
   • ChatGPT: for code generation and review.
6. Preparation for Projects
   • Installation of necessary tools and software.
   • Step-by-step installation guide provided.
   • Creation of a free Hugging Face account.
7. Utilizing Models for Projects
   • Libraries like PyTorch, TensorFlow, Transformers, and Diffusers for model interaction.
   • Selection of models based on task and license.
   • Example project: text summarizer using DistilBart CNN model.
8. Project Development and Deployment
   • Creation of a new project in PyCharm.
   • Installation of libraries using a requirements.txt file.
   • Use of virtual environments for project isolation.
   • Building a text summarizer interface with Gradio.
   • Deployment to Hugging Face Spaces for public access.
9. Next Steps
   • Upcoming video on creating a YouTube video summarizer.
   • Continuation of the series with more advanced projects and tools.