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Data Science Institute

Vanderbilt University’s Data Science Institute Presents AI Winter 2024

Posted by on Tuesday, December 12, 2023 in - Generative AI, Newsletter, Vanderbilt University Data Science Institute and Vanderbilt University School of Engineering | Large Language Models, Workshop.

 

❄️ Dive into the World of Generative AI with the AI Winter Workshop! ❄️

Discover the Power of AI: We’re excited to announce the Vanderbilt AI Winter Workshop, a unique opportunity to dive into the world of generative AI. This workshop is designed for anyone interested in AI, from experienced researchers to enthusiastic beginners.

🗓️ Workshop Dates: January 2-5, 2024
🌐 Location: All sessions conducted remotely via Zoom

What to Expect:

  • 🤖 Tailored Learning: Engage in sessions that cater to a wide range of AI applications, designed to match your interests, regardless of your expertise.
  • 🔍 Research and Development: The workshop can help those with a research goal or preliminary data, offering a platform to develop initial models for further work.
  • 👩‍💻 Remote Collaboration: Engage with peers and experts in a dynamic virtual environment, perfect for hands-on learning and interaction.
  • 📚 Resources Galore: Gain access to valuable workshop recordings and resources, available to all participants.

Who Should Join:

  • Faculty and Staff looking to integrate AI into their daily work and teaching practices.
  • Researchers with a specific goal or preliminary data.
  • Anyone interested in learning about deep learning techniques.

When you register through our Google form, we’ll automatically enroll you in the workshops. From then on, you’ll receive regular communications from us, including Zoom links and all the necessary materials to ensure you’re fully prepared and informed for each session.

Stay tuned for updates as we gear up for an exciting learning journey!

📧 Inquiries?
For any questions or additional information, please contact us at datascience@vanderbilt.edu.

Additional Details including planned programming

    • Day 1: Transformer Overview, Brief Model Overview, Transformer Architectures, Formal Algorithms, Multimodal
    • Day 2: Model Overview, Architecture, Training, Size, Capability, Inferencing
    • Day 3: Training Basics High Level, What kind of training, Domain, Instructions, Alignment
    • Day 4: LangChain, Streamlit/Gradio

Register Here