OpenAAC VS Language-games

AI Assisted Open Source Communication App for Autism - https://github.com/RonanOD/OpenAAC

It's a flutter app (in beta on Google play store currently) that uses OpenAI embeddings with Postgres pg_vector DB hosted in Supabase. Any poor matches go to Dalle3 for generation.

Our charity (I am vice-chair on the board) is hoping to use it as part of our program: https://learningo.org/app/

I was working on this stuff before it was cool, so in the sense of the precursor to LLMs (and sometimes supporting LLMs still) I've built many things:

1. Games you can play with word2vec or related models (could be drop in replaced with sentence transformer). It's crazy that this is 5 years old now: https://github.com/Hellisotherpeople/Language-games

2. "Constrained Text Generation Studio" - A research project I wrote when I was trying to solve LLM's inability to follow syntactic, phonetic, or semantic constraints: https://github.com/Hellisotherpeople/Constrained-Text-Genera...

3. DebateKG - A bunch of "Semantic Knowledge Graphs" built on my pet debate evidence dataset (LLM backed embeddings indexes synchronized with a graphDB and a sqlDB via txtai). Can create compelling policy debate cases https://github.com/Hellisotherpeople/DebateKG

4. My failed attempt at a good extractive summarizer. My life work is dedicated to one day solving the problems I tried to fix with this project: https://github.com/Hellisotherpeople/CX_DB8

I wrote a set of "language games" using word embeddings. Very similar to what's shown here.

https://github.com/Hellisotherpeople/Language-games