rochitasundar/Generative-AI-with-Large-Language-Models
This repository contains the lab work for Coursera course on "Generative AI with Large Language Models".
ORIGINAL REPOSITORY
rochitasundar/Generative-AI-with-Large-Language-Models ↗GitHub activity
- Stars
- 18
- Forks
- 7
- Open issues and PRs
- 0
- Repository size
- ~223 KB
- Default branch
- master
- Created
- Nov 30, 2023
- Repository updated
- Sep 15, 2026
- Last push
- Nov 30, 2023
- Language
- Jupyter Notebook
Topics flan-t5 · instruction-finetuning · kl-divergence · large-language-models · llm-evaluation · low-rank-adaptation · parameter-efficient-fine-tuning · prompt-engineering · proximal-policy-optimization · reinforcement-learning · reward-model · transformer
Repository-wide figures from GitHub, checked Nov 4, 2026. Stars are endorsements, not a Mega AI Hub quality rating. Repository size is GitHub’s estimate; a ZIP download may differ.
Resource information
- Original repository
- rochitasundar/Generative-AI-with-Large-Language-Models
- Credit basis
- GitHub repository owner or organization; individual authorship is not asserted
- Publisher
- rochitasundar
- Upstream last modified
- Sep 15, 2026
- Official website
- https://github.com/rochitasundar/Generative-AI-with-Large-Language-Models
- Languages
- Jupyter Notebook
- Access
- Open original GitHub repository; publisher terms apply
- Last checked
- Nov 4, 2026
- License
- Not specified
- Last record update
- Nov 4, 2026