Course Outline
Introduction to Generative AI
- Understanding generative AI and its significance.
- Overview of main types and techniques in generative AI.
- Key challenges and limitations facing generative AI.
Transformer Architecture and LLMs
- Comprehending the transformer model and its functionality.
- Examining the primary components and features of a transformer.
- Leveraging transformers to construct LLMs.
Scaling Laws and Optimization
- Defining scaling laws and their importance for LLMs.
- Exploring the relationship between scaling laws and factors such as model size, data volume, compute budget, and inference needs.
- Utilizing scaling laws to 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 specific tasks.
- Best practices and tools for training and fine-tuning LLMs.
Deploying and Using LLMs
- Critical considerations and challenges in 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 associated with generative AI and LLMs, such as bias, misinformation, and manipulation.
- Strategies for the responsible and beneficial use of generative AI and LLMs.
Summary and Next Steps
Requirements
- A solid understanding of machine learning principles, including supervised and unsupervised learning, loss functions, and data splitting.
- Proficiency in Python programming and data manipulation.
- Foundational knowledge of neural networks and natural language processing.
Audience
- 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
