Lot of dystopian AI discussion on here as usual. Much is out of my control on that front, but I did use AI to build nice map of (imo) best 80,000 books of all time: https://t.co/sb28LJS58E
Select your cell: I'm prototyping an interactive sc RNA-seq portal where the UMAP is dynamically linked to morphing 3D artistic renders of each cell type. You can play with the initial build below.
Explore Wikipedia through a data map. Pages are grouped by semantic similarity, for topic clusters.
Hover to see details, zoom to explore fine-grained topics, click to go to a page. Search page names to find interesting starting points for exploration.🧵
https://t.co/DiTRso4CZ1
mapping out the visual language of film using a multimodal llm:
i fed frames of a short film to a vision-language model and mapped out its ratings of surrealism and presence of human figure in each moment along the timeline. the result is an interactive playback interface based on these 2 dimensions:
Open Syllabus is proud to launch the Course Matcher, which will make it easier for the roughly 1 million US college students who transfer schools every year to receive credit for their classes. https://t.co/7ieKFjUkKb
Got some time to tidy up a bit this exploration and publish a live link! SPH is a little monster that needs to be harnessed :)
Link: https://t.co/oYMsOk3K0p
(double click to play with the presets)
#threejs#realtime#troikatext
The most broadly applicable prompting technique:
1. Collect a random subset of failing examples from a training set
2. Add the examples and a correct response to your prompt
3. Repeat
Doing the above 5 times has solved 90% of prompting challenges I’ve seen