Content & Writing · GitHub ·29 ★

Generative-AI-for-Everyone

Taught by AI genius Andrew NG, this course entails the cutting edge topics such as, How generative AI works including what it can and can't do, Common uses cases such as Reading, Writing, and Chatting, Life Cycle of GenAI projects, Advanced Technology options such as RAG, Fine tunning, and Pre-Train

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Details

Author
Rabbia-Hassan
Category
Content & Writing
Platform
GitHub
Framework
custom
Language
jupyter notebook
Stars
29
First indexed
2026-05-15
Last active
2024-04-28
Directory sync
2026-05-15
@Rabbia-Hassan

Overview

Taught by AI genius Andrew NG, this course entails the cutting edge topics such as, How generative AI works including what it can and can't do, Common uses cases such as Reading, Writing, and Chatting, Life Cycle of GenAI projects, Advanced Technology options such as RAG, Fine tunning, and Pre-Train

Quick start

git

git clone https://github.com/Rabbia-Hassan/Generative-AI-for-Everyone

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What Generative-AI-for-Everyone can do

fine-tunllmwritingrag
  • Fine Tun — fine-tun task automation.
  • Llm — llm task automation.
  • Writing — Drafts and polishes long-form text in your style.
  • Rag — Retrieves grounded context before answering.

Frequently asked questions

What is Generative-AI-for-Everyone?
Taught by AI genius Andrew NG, this course entails the cutting edge topics such as, How generative AI works including what it can and can't do, Common uses cases such as Reading, Writing, and Chatting, Life Cycle of GenAI projects, Advanced Technology options such as RAG, Fine tunning, and Pre-Train
How do I install Generative-AI-for-Everyone?
Use git: `git clone https://github.com/Rabbia-Hassan/Generative-AI-for-Everyone`. Full setup details on the source page linked above.
Is Generative-AI-for-Everyone open source?
Generative-AI-for-Everyone is published on GitHub.
What are alternatives to Generative-AI-for-Everyone?
Comparable agents include PaddleOCR, telegraf, ai-notes. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for Generative-AI-for-Everyone is sourced from GitHub, published by Rabbia-Hassan.

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