Building Language Models on AWS

Content

Module 1: Course Series Introduction

Module 2: Addressing the Challenges of Building Language Models

Module 3: Using Amazon SageMaker for Training Language Models

Demonstration 1: Setting up Amazon SageMaker Studio

Module 4: Ingesting Language Model Data

Module 5: Training Large Language Models

Demonstration 2: Training Your First Language Model with Amazon SageMaker

Demonstration 3: Launching a SageMaker Training Job using the @remote decorator

Demonstration 4: Distributed Training with SageMaker Model Parallel

Demonstration 5: Fine-Tune and Deploy Your Own LLM Using AWS Custom Silicon

Module 6: Aligning Language Models to Human Feedback

Demonstration 6: E2E Preference Alignment with RLHF and Multi-Adapter PPO

Module 7: Building language models with SageMaker HyperPod

Demonstration 7: Building Your Own Language Models with SageMaker HyperPod

Module 8: Deploying Language Models

Demonstration 8: Deploy Mixtral-8x7B on Amazon SageMaker Using the LMI Container

Module 9: Call to Action and Additional Resources

Course Feedback

Additional resources

Domain

Machine Learning

Course Level

Advanced

Roles

Roles

Version

02.00.00

Technologies

AI/ML, GenAI

Training Category

Digital Course