Course Outline
Introduction to Generative AI
- Understanding what generative AI is and its significance.
- Exploring the primary types and techniques of generative AI.
- Addressing key challenges and limitations within the field.
Transformer Architecture and LLMs
- Defining transformers and understanding their operational mechanics.
- Examining the core components and distinctive features of transformers.
- Utilizing transformers to construct Large Language Models.
Scaling Laws and Optimization
- Defining scaling laws and their critical role in LLM development.
- Understanding the relationship between scaling laws, model size, data volume, compute budget, and inference needs.
- Applying scaling laws to enhance LLM performance and efficiency.
Training and Fine-Tuning LLMs
- Identifying the primary steps and challenges in training LLMs from the ground up.
- Weighing the benefits and drawbacks of fine-tuning LLMs for specialized tasks.
- Adopting best practices and leveraging tools for effective LLM training and fine-tuning.
Deploying and Utilizing LLMs
- Navigating the primary considerations and challenges of deploying LLMs in production environments.
- Exploring common use cases and applications of LLMs across various domains and industries.
- Integrating LLMs with other AI systems and platforms.
Ethics and the Future of Generative AI
- Analyzing the ethical and social implications of generative AI and LLMs.
- Assessing potential risks and harms, such as bias, misinformation, and manipulation.
- Promoting responsible and beneficial applications of generative AI and LLMs.
Summary and Next Steps
Requirements
- A solid grasp of machine learning concepts, including 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.
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
