Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF) Training Course

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.

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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

Requirements

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

14 Hours

Delivery Options

Private Group Training

Our identity is rooted in delivering exactly what our clients need.

Pre-course call with your trainer
Customisation of the learning experience to achieve your goals -

Bespoke outlines
Practical hands-on exercises containing data / scenarios recognisable to the learners

Training scheduled on a date of your choice
Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF) Training Course

Course Outline

Requirements

Delivery Options

Private Group Training

Public Training

Provisional Upcoming Courses (Contact Us For More Information)

Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF)

Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF)

Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF)

Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF)

Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF)

Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF)

Related Categories

This site in other countries/regions

Europe

Asia Pacific

North America

South America

Africa / Middle East

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Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF) Training Course

Course Outline

Requirements

Delivery Options

Private Group Training

Public Training

Provisional Upcoming Courses (Contact Us For More Information)

Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF)

Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF)

Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF)

Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF)

Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF)

Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF)

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Related Categories

Reinforcement Learning

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This site in other countries/regions

Europe

Asia Pacific

North America

South America

Africa / Middle East

Other sites