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Advanced Reinforcement Learning: Reward Modeling LLMs GPT
Rating: 3.6 out of 5(8 ratings)
68 students

Advanced Reinforcement Learning: Reward Modeling LLMs GPT

Learn the Theory and Practice behind Reward modeling used in Reinforcement Learning from Human Feedback (RLHF).
Created byMachine Learning Warrrior
Last updated 10/2024
English
English [Auto],

What you'll learn

  • Learn to train a reward model based on pretrained Llama3 8B model.
  • Learn the science behind reward modeling and LLM alignment.
  • Learn to use the HuggingFace TRL Reward Trainer.
  • Train your own reward models on your own data.

Course content

1 section • 6 lectures • 34m total length

  • Introduction0:42

    Train a reward model from pre-trained llama three using hugging face TRL to output a scalar score for input text, using the anthropic RLHF dataset in a google colab notebook.

  • Theory of Reward Modeling and Installation6:01

    Train reward models by extending pre-trained models with a linear layer and training on chosen versus rejected pairs from the anthropic human feedback dataset, using a binary ranking loss.

  • Dataset Processing8:06

    Load dependencies, tokenize data with the huggingface datasets library and llama tokenizer, and preprocess samples into chosen and rejected inputs for the reward trainer.

  • Model Setup9:02

    Preprocess the dataset with a map function and filter sequences to 512 tokens, then load a llama 38b sequence classifier in 8-bit precision with a randomly initialized single-scalar output layer.

  • Training Part 15:37

    Kick off training by loading the model with a one-dimensional score layer, applying LoRA for sequence classification, casting to bf16, and training for 300 steps to produce a scalar reward.

  • Training Part 25:04

    Configure gradient checkpointing to save memory during 32-step forward–backward training with a gradient accumulation of 32, keeping memory around 10.5 GB and training only the output score layer.

Requirements

  • Basic PyThon experience and a Google Colab premium account.

Description

Course Overview: Unlock the potential of large language models with our comprehensive course designed to teach you the ins and outs of reward modeling using the Llama3 8B model. Whether you are a student, researcher, or AI enthusiast, this course will guide you through the advanced techniques of training reward models, leveraging the robust Anthropic Helpful and Harmful RLHF dataset and the powerful HuggingFace TRL RewardTrainer, all within a Google Colab instance.

What You Will Learn:

  • Introduction to LLM and Reward Modeling: Gain a solid foundation in large language models, particularly focusing on the Llama3 8B model.

  • Understanding RLHF (Reinforcement Learning from Human Feedback): Dive deep into the Anthropic Helpful and Harmful RLHF dataset, understanding its structure and how it can be used to train more effective models.

  • Hands-On Training with TRL RewardTrainer: Learn to utilize HuggingFace's TRL RewardTrainer to effectively train and refine reward models.

  • Practical Application in Google Colab: Perform all your training in a Google Colab instance, learning how to configure and optimize your environment for large scale model training.

  • Evaluating and Improving Model Performance: Master the techniques for assessing model performance and iterative improvement using real-world feedback.

Course Features:

  • Detailed video lectures and interactive live sessions.

  • Step-by-step tutorials and real-world case studies.

  • Direct support from the instructor and access to a community of like-minded peers.

  • Hands-on projects and assignments to reinforce learning.

  • Access to course materials and resources on-demand.

Who Should Enroll: This course is ideal for AI researchers, data scientists, and software engineers interested in advancing their knowledge in machine learning and large language models. Prior experience with Python and basic machine learning concepts is recommended to get the most out of this course.

Enroll now to begin your journey into the world of reward modeling with Llama3 GPT, and take your machine learning skills to the next level!

Who this course is for:

  • This course is for anyone looking to understand how reward modeling works and train their own reward models.

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