Some AI resources
Some good youtube channels:
- Matthew Berman – AI news, code samples, model testing
- Wes Roth – news, walkthroughs
- echohive – lots of code samples
Free courses:
Some good youtube channels:
Free courses:
If your goal is to extract everything possible from documents – text, metadata, layout, embedded objects, and even inferred insights using AI – then a simple PDF-to-text tool won’t cut it. You need a multi-pass, layered pipeline that combines traditional parsers with advanced AI models. This document outlines the most capable open-source tools available today,…
I created a python script to monitor an email address for inbound email and change the text of the body into speech. I used ChatGPT for the initial results (“Generate a python script to monitor an email address, and then use openai’s TTS API to convert it to audio and email it back to the…
Interactive demos for LiteParse — a fast, local, model-free document parser. Includes a parser comparison (LiteParse vs PyPDF vs PyMuPDF), visual citation search with bounding boxes, and a Claude Code research skill.
Wharton researchers studied 20 game studios on AI adoption. The biggest gains came not from automation, but from studios designed around AI from day one — small generalist teams replacing specialist silos.
A factual look at GoogleChrome/modern-web-guidance, a skill and CLI designed to help AI coding agents use modern web platform APIs and patterns instead of legacy workarounds.
Two source photos, one very specific Gemini prompt, and a generated Georges Island panorama that tries to stay faithful to the real place while pushing the sky, fog, and water into something cinematic.