Machine Learning

Lessons from trying to teach myself more about AI over the past 6 months

A simple walkthrough to deriving the derivative ( with code ) for the cross entropy loss

How to use context-aware RAG and pydantic validation to allow GPT to generate code on a new UI Library

A guide to a strong open-source transformer alternative

How to simulate a red-team attack on your own models to improve their robustness

Configure File Uploads to R2 from NextJS's new App directory using Server Actions

I recently took some time building out some simple models to classify tweets on kaggle - let's walk through and see what I managed to build

Implementing persistent conversational memory

I'm planning to break into the ML side of things - here's what I have in mind.

How to debug a Not Implemented Error in FastAI in lesson 1

Here are some of my notes for Fast AI part 1. I'm going through the course and the book and I'm trying to consolidate everything here.

Here are some of my notes for Neural Networks From Scratch