Course Outline
Introduction to Generative AI
- What constitutes generative AI and its significance?
- Primary types and techniques used in generative AI.
- Key challenges and limitations inherent in generative AI.
Transformer Architecture and LLMs
- Understanding transformers and their operational principles.
- Core components and features of the transformer model.
- Leveraging transformers to construct Large Language Models.
Scaling Laws and Optimization
- What are scaling laws and why are they critical for LLMs?
- The relationship between scaling laws, model size, data volume, compute resources, and inference needs.
- How scaling laws can enhance the performance and efficiency of LLMs.
Training and Fine-Tuning LLMs
- The primary steps and challenges involved in training LLMs from scratch.
- Advantages and disadvantages of fine-tuning LLMs for specialized tasks.
- Best practices and recommended tools for training and fine-tuning LLMs.
Deploying and Using LLMs
- Key considerations and challenges in deploying LLMs in production environments.
- Common use cases and applications of LLMs across different sectors 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 the responsible and beneficial use of generative AI and LLMs.
Summary and Next Steps
Requirements
- A solid understanding of machine learning concepts, such as supervised and unsupervised learning, loss functions, and data splitting techniques.
- Practical experience with Python programming and data manipulation.
- Fundamental knowledge of neural networks and natural language processing.
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
