also reachable via 1 other path through the graph
DAY 1 :: 6.1. :: Introduction of main concepts (avatarization, generative AI) introduction of technologies (language models, Loras, retrieval-augmented generation) & tools (Flowise, text-webui) we will use.
DAY 2 :: 7.1. :: Introduction of additional tools (Unreal engine, voice cloning). Group formation. Bringing an exemplar AA into existence.
DAY 3 :: 8.1. :: Bringing other AAs into existence
DAY 4 :: 9.1. :: Making AAs communicate among themselves & with us, room preparation
DAY 5 :: 10.1. :: 1st UDK.AI Symposium on Artificial Avatars
all open-minded individuals (that is: YOU) who wish to learn more about open-source generative AI
Christian Schmidts & Daniel D. Hromada
cybrid of romantic poet John Keats (Avatar issued out of 0th symposium)
AAs of Your own making
all species welcome !
"training" when the AI is learning from the data we provide it
"inferencing" when the AI is using its current "knowledge" to solve new problems (e.g. problems which maybe weren't in the training data at all)
Raison d'etre / Idea
Name
Description
Text dataset
Voice recording
Face / Appearance