$ cat /etc/cookies.conf
We use cookies to understand how people use this site.
Analytics cookies help us improve your experience.
They are off by default. Nothing tracks you until you say so.
$ select cookie_preferences
Members-Only
Recent Talks & Demos are for members only
You must be an AI Tinkerers active member to view these talks and demos.
The talk shows how 4o vision finetuning extracts student chemistry diagram attempts, using under ten hand‑labelled examples, data augmentation, and a side‑by‑side demo.
The task is to extract student’s attempts for chemistry diagram questions.
These diagrams are a graph with nodes and edges.
Using VLLMs out of the box often results in the model correcting the chemistry equations or missing key notation.
Here we explore Vision Finetuning, and see how far we can go with less than 10 hand-labelled examples.
Kuang Wen and I will show the data we have, the augmentation techniques, and our current demo app comparing finetuned with non-finetuned.
Loading recent emails...