Notes on learning AI from Scratch in Public
I try to dump all the things that I find interesting, my roadmap, learning, etc
Most of the content might be raw/unpolished though but I hope is helpful for someone who is starting the AI journey
I want to learn & build GenAI AI apps.
Not just yet another GPT wrapper app by calling some API provided by OpenAI without understand its fundamentals.
I want to understand its actual benefits and tradeoffs and build apps that solves the real problem.
TLDR: Build things with AI rather than consume it
- 2025-07
- 2025-06
- 2025-05
- 2025-04
- 2025-03
- 2025-02
- 2025-01
- 2024-12
- 2024-11
- 2024-09
- 2024-07
- 2024-02
- 2023-12
It's more of brain dump with you can see it under /journals directory
This repo follows PARA method
| Category | Description | Folders |
|---|---|---|
| Projects | Active tasks with specific outcomes. | blog, courses, learn-in-public |
| Areas | Ongoing responsibilities and processes. | journals, weekly-notes, pages |
| Resources | Reference materials or static files. | assets, resources |
| Archives | Inactive projects or old materials. | __templates, logseq |
This table provides a clear overview of the PARA structure for organizing your files. You can use it directly in your README for quick reference.