Course Code: ftrlhf
Duration: 14 hours
Prerequisites:
  • An understanding of supervised and reinforcement learning fundamentals
  • Experience with model fine-tuning and neural network architectures
  • Familiarity with Python programming and deep learning frameworks (e.g., TensorFlow, PyTorch)

Audience

  • Machine learning engineers
  • AI researchers
Overview:

Reinforcement Learning from Human Feedback (RLHF) is a cutting-edge method used for fine-tuning models like ChatGPT and other top-tier AI systems.

This instructor-led, live training (online or onsite) is aimed at advanced-level machine learning engineers and AI researchers who wish to apply RLHF to fine-tune large AI models for superior performance, safety, and alignment.

By the end of this training, participants will be able to:

  • Understand the theoretical foundations of RLHF and why it is essential in modern AI development.
  • Implement reward models based on human feedback to guide reinforcement learning processes.
  • Fine-tune large language models using RLHF techniques to align outputs with human preferences.
  • Apply best practices for scaling RLHF workflows for production-grade AI systems.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Course Outline:

Introduction to Reinforcement Learning from Human Feedback (RLHF)

  • What is RLHF and why it matters
  • Comparison with supervised fine-tuning methods
  • RLHF applications in modern AI systems

Reward Modeling with Human Feedback

  • Collecting and structuring human feedback
  • Building and training reward models
  • Evaluating reward model effectiveness

Training with Proximal Policy Optimization (PPO)

  • Overview of PPO algorithms for RLHF
  • Implementing PPO with reward models
  • Fine-tuning models iteratively and safely

Practical Fine-Tuning of Language Models

  • Preparing datasets for RLHF workflows
  • Hands-on fine-tuning of a small LLM using RLHF
  • Challenges and mitigation strategies

Scaling RLHF to Production Systems

  • Infrastructure and compute considerations
  • Quality assurance and continuous feedback loops
  • Best practices for deployment and maintenance

Ethical Considerations and Bias Mitigation

  • Addressing ethical risks in human feedback
  • Bias detection and correction strategies
  • Ensuring alignment and safe outputs

Case Studies and Real-World Examples

  • Case study: Fine-tuning ChatGPT with RLHF
  • Other successful RLHF deployments
  • Lessons learned and industry insights

Summary and Next Steps

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