Course Outline
Introduction to Generative AI
- Defining generative AI and its significance.
- Primary types and techniques of generative AI.
- Key challenges and limitations inherent in generative AI.
Transformer Architecture and LLMs
- Understanding transformers and their operational mechanisms.
- Core components and features of the transformer architecture.
- Utilizing transformers to construct LLMs.
Scaling Laws and Optimization
- Defining scaling laws and their importance for LLMs.
- The relationship between scaling laws and model size, data volume, compute budget, and inference needs.
- How scaling laws can enhance the performance and efficiency of LLMs.
Training and Fine-Tuning LLMs
- Primary steps and challenges involved in training LLMs from scratch.
- Advantages and disadvantages of fine-tuning LLMs for specific tasks.
- Best practices and tools for training and fine-tuning LLMs.
Deploying and Using LLMs
- Key considerations and challenges of deploying LLMs in production environments.
- Common use cases and applications of LLMs across various domains and industries.
- Integrating LLMs with other AI systems and platforms.
Ethics and Future of Generative AI
- Ethical and social implications of generative AI and LLMs.
- Potential risks and harms, such as bias, misinformation, and manipulation.
- Promoting responsible and beneficial use of generative AI and LLMs.
Summary and Next Steps
Requirements
- A solid understanding of machine learning concepts, including supervised and unsupervised learning, loss functions, and data splitting techniques.
- Practical experience with Python programming and data manipulation.
- Foundational knowledge of neural networks and natural language processing.
Target Audience
- Software Developers
- Machine learning enthusiasts
Testimonials (7)
Examples and links excel repository
Olga - GE HealthCare
Course - Generative AI with Large Language Models (LLMs)
a lot of examples and different tools to check
Bartosz - GE HealthCare
Course - Generative AI with Large Language Models (LLMs)
Custom GPTs, prompt engineering
Marcin Stezowski - GE HealthCare
Course - Generative AI with Large Language Models (LLMs)
Wide perspective
Artur - GE HealthCare
Course - Generative AI with Large Language Models (LLMs)
Technical examples in conjunction with theory.
Marcin - GE HealthCare
Course - Generative AI with Large Language Models (LLMs)
Mikołaj background outside IT enable presenting this topic from different angle - much needed for IT folks!
Grzegorz - GE HealthCare
Course - Generative AI with Large Language Models (LLMs)
Explanation form other than IT perspective. Adding value
