This repository contains Jupyter notebooks for the workshop Generative AI - A whirlwind tour by Mario Zechner.
For remote or in-person workshop bookings, please reach out at contact@badlogicgames.com.
Workshop Duration: Minimum 4 hours, maximum 10 hours.
Languages: English and German (Course materials in English only).
Content Overview:
- A practical introduction to machine learning, and generative large language models in particular, supplemented by interactive notebooks.
- An extensive Q&A session addressing:
- Application of these technologies within your organization.
- Feasibility of specific use cases you have in mind.
- Validity and effectiveness of AI-based products offered by third parties.
Key Takeaways:
- Fundamental insights into machine learning, focusing on generative large language models.
- Strategies for integrating machine learning models into your business processes.
- The ability to critically assess the claims made by AI solution providers.
Pricing is tailored to meet individual or organizational needs.
The contents of this repository are licensed under the CC BY-NC 4.0 DEED license. You are free to share and adapt the contents of your repository under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- NonCommercial — You may not use the material for commercial purposes.
See the full license text for more information.
You can run the notebooks via Google Colab, or locally via Jupyter.
Some of the notebooks require you to get an OpenAI API key, as well as a Hugging Face API token.
Sign up for Hugging Face (free)
Click the links below to open each section in Google Colab in your browser.