Course Outline
Introduction to Generative AI
- Defining generative AI and its significance.
- Overview of primary types and techniques.
- Identifying key challenges and inherent limitations.
Transformer Architecture and LLMs
- Understanding the transformer model and its functionality.
- Exploring main components and distinctive features.
- Leveraging transformers to construct LLMs.
Scaling Laws and Optimization
- The role of scaling laws in LLM development.
- Relating scaling laws to model size, data volume, compute budget, and inference demands.
- Utilizing scaling laws to enhance performance and efficiency.
Training and Fine-Tuning LLMs
- Key steps and hurdles in training LLMs from the ground up.
- Assessing the pros and cons of fine-tuning for specific applications.
- Best practices and recommended tools for the training process.
Deploying and Using LLMs
- Strategic considerations for production deployment.
- Common use cases across various industries.
- Integrating LLMs with existing AI systems and platforms.
Ethics and Future of Generative AI
- Social and ethical implications of generative AI.
- Addressing potential risks such as bias, misinformation, and manipulation.
- Principles for responsible and beneficial adoption.
Summary and Next Steps
Requirements
- A solid grasp of machine learning fundamentals, including supervised and unsupervised learning, loss functions, and data partitioning.
- Practical experience in Python programming and data manipulation.
- Foundational knowledge of neural networks and natural language processing.
Target Audience
- Software Developers
- Machine Learning Enthusiasts
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 4350 € + VAT*
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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