1.1 - Overview of AI Language Models
1.2 - Introduction to ChatGPT
1.3 - Fine-tuning AI Language Models
1.4 - Capabilities and Limitations of AI models
1.5 - Resources
2.1 - Architecture and Functioning
2.2 - Techniques Used in Language Models
2.3 - Prompt-Based Generation
2.4 - Pre-training and Fine-tuning for Performance
2.5 - Resources
Assignment: AI Language Model Quiz
Assignment: Group Discussion and Reflection
3.1 - Limitations and Challenges with Language Models
3.2 - Examining Bias
3.3 - Challenges in Complex Queries
3.4 - AI Safety
3.5 - Resources
4.1 - Introduction to Ethical Considerations
4.2 - Potential Biases and Fairness Issues
4.3 - Privacy Concerns and Data Handling Practices
4.4 - Responsible AI usage and Guidelines
4.5 - Resources
Assignment: Written Analysis
5.1 - Developing Critical Evaluation Skills
5.2 - Analyzing Outputs
5.3 - Techniques for Identifying Bias
5.4 - Evaluating Credibility and Trustworthiness
5.5 - Resources
Assignment: Written Analysis 2
6.1 - Impacts of AI Language Models on Society
6.2 - Implications for Employment, Education, and Human-AI Interaction
6.3 - The Role of AI Language Models in Misinformation
6.4 - Ethical Dilemmas and Societal Responsibilities
6.5 - Resources
7.1 - Promoting Responsible Usage
7.2 - Addressing Biases and Improving AI Transparency
7.3 - Ongoing Research and Advancements in AI Language Models
7.4 - Future Directions and Applications of AI Language Models
7.5 - Resources
Assignment: Group Presentation
Assignment: Written Reflection