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Duration 14 hours
Course Outline
Introduction to Reinforcement Learning from Human Feedback (RLHF)
- Defining RLHF and its significance
- Contrasting RLHF with traditional supervised fine-tuning approaches
- Real-world applications of RLHF in current AI architectures
Developing Reward Models with Human Input
- Gathering and organizing human feedback data
- Constructing and training effective reward models
- Assessing the performance of reward models
Training using Proximal Policy Optimization (PPO)
- Overview of PPO algorithms tailored for RLHF
- Integrating PPO with reward models
- Safe, iterative fine-tuning of models
Practical Fine-Tuning of Language Models
- Curating datasets for RLHF pipelines
- Practical exercise: fine-tuning a smaller LLM using RLHF
- Identifying challenges and implementing mitigation tactics
Scaling RLHF for Production Environments
- Infrastructure and computational resource planning
- Quality control and establishing continuous feedback cycles
- Best practices for deployment and ongoing maintenance
Ethical Considerations and Bias Reduction
- Mitigating ethical risks associated with human feedback
- Strategies for detecting and correcting bias
- Safeguarding alignment and ensuring safe model outputs
Case Studies and Real-World Applications
- Case study: The fine-tuning of ChatGPT via RLHF
- Examining other successful RLHF implementations
- Key takeaways and industry perspectives
Requirements
- A solid grasp of fundamental supervised and reinforcement learning concepts
- Hands-on experience with model fine-tuning and neural network architectures
- Proficiency in Python programming and deep learning libraries (such as TensorFlow and PyTorch)
Target Audience
- Machine Learning Engineers
- AI Researchers
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 2600 € + VAT*
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