- Model Evaluation
- Natural Language Processing
- Reinforcement Learning
- Generative AI
- Large Language Modeling
- Machine Learning
Generative AI Advance Fine-Tuning for LLMs
Completed by Swaminathan Arumugam
November 3, 2024
9 hours (approximately)
Swaminathan Arumugam's account is verified. Coursera certifies their successful completion of Generative AI Advance Fine-Tuning for LLMs
What you will learn
In-demand generative AI engineering skills in fine-tuning LLMs that employers are actively seeking
Instruction tuning and reward modeling using Hugging Face, plus understanding LLMs as policies and applying RLHF techniques
Direct preference optimization (DPO) with partition function and Hugging Face, including how to define optimal solutions to DPO problems
Using proximal policy optimization (PPO) with Hugging Face to build scoring functions and tokenize datasets for fine-tuning
Skills you will gain
