1. About the WS
- Purpose and scope of the study
- Background information on the topic
2. History
- Evolution of the field over time
- Key figures and their contributions
3. Models
- The importance of data
- Advantages and disadvantages of each model
- Neural Network - Multilayer Perceptron
- Introduction to neural networks
- Types of neural networks used in the study
- Comparison of neural networks with other models
5. Team Work
- Brainstorming: brainwriting
- Collaboration tools and methods used
- Challenges and solutions encountered during the project
6. Next Steps
- Future activities?
- Conclusion and summary
1. The Workshop
- Purpose and scope
- Context
2. History
- Notable mentions pre 2023
- Evolution of the field in the latest months
- Key events
3. Plugins
- What will we use
- Indivual work
- HOw can we use it for a day to day work
4. Auto-GPT
- What is it?
- hands-on the project
- What we ******?
- What we want?
- How