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0898667668
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Generative AI with Large Language Models
WEEK 1
W1 1 Course Introduction
W1 2 Introduction Week 1
W1 3 Generative AI & LLMs
W1 4 LLM use cases and tasks
W1 5 Generating Text
W1 6 Transformers Architecture
W1 7 Generating Text with Transformers
W1 8 Prompting and prompt engineering
W1 9 Generative configuration
W1 10 Generative AI Project Lifecycle
W1 11 Introduction to AWS Lab
W1 12 Lab 1 walkthrough
W1 13 Pre training large language models
W1 14 Computational challenges of training LLMs
W1 15 Optional video Efficient multi GPU compute strategies
W1 16 Scaling Laws and Compute Optimal Models
W1 17 Pre training for domain adaptation
WEEK 2
W2 1 Introduction Week 2
W2 2 Instruction fine tuning
W2 3 Fine tuning on a single task
W2 4 Multi task instruction fine tuning
W2 5 Model Evaluation
W2 6 Benchmarks
W2 7 Parameter efficient fine tuning PEFT
W2 8 PEFT techniques 1 LoRA
W2 9 PEFT techniques 2 Soft prompts
W2 10 Lab 2 walkthrough
WEEK 3
w3 1 Introduction
w3 2 Aligning models with human values
w3 3 Reinforcement learning from human feedback RLHF
w3 4 RLHF Obtaining feedback from humans
w3 5 RLHF Reward model
w3 6 RLHF Fine tuning with reinforcement learning
w3 7 Optional video Proximal policy optimization
w3 8 RLHF Reward hacking
w3 9 Scaling human feedback
w3 10 Lab 3 walkthrough