Type	Note
Status	stable
Generated	by: process:vault-migrate/1.0 · at: 2026-09-22T12:41:58.55607396Z

Open (ish) tooling

Opensource vs Freeware in AI:

This is a hot, and also seemingly endless debate that has been going on for years.
Open-source AI allows users to access, modify, and distribute the source code and training methods for free, promoting collaboration and community-driven development. Popular AI frameworks like TensorFlow and PyTorch fall under this category.
Free-to-use, on the other hand, is copyrighted software distributed without charge, but with limited rights to modify or distribute. Meta Llama 2 falls into that catagory.
Feel free to get right into the weeds with the Hannibal046/Awesome-LLM: Awesome-LLM: a curated list of Large Language Model (github.com)

There’s SO much activity. Thousands and thousands of merges and models and LoRAs oh my…
- Some of these are from legit labs are are fabulous.
- Deepseek (Chinese) Falcon (UAE) Mistral (France) Red Pyjama Microsoft Models Poro (Finland) and more.
It’s confusing because people are “gaming” the evaluation tools, so nobody really knows what’s good.
Best to ask people who know, and accept you’re going to be changing the back end of your system a lot.
You can pick a size and utility of model and get a long way, but do you need to?
Low code flowise demo which you probably saw earlier.
- It is multi-modal, can generate images like OpenAI, and use audio bi-driectionally, like OpenAI.
- It is a drop in replacement, so crucially it can serve as a BACKUP
- This is doable, but probably don’t do it.
this loads up my local LLM sandbox [<]iframe src=“http://192.168.0.51:3000/canvas/b9738eeb-4fa2-41a0-9535-549638a958f5” style=“width: 100%; height: 600px”>
ComfyUI live demo (not here for now)