Ontocord.AI
commited on
Commit
·
a9d36cc
1
Parent(s):
18cfbf9
Update README.md
Browse files
README.md
CHANGED
@@ -9,8 +9,10 @@ pinned: false
|
|
9 |
# Multi-Domain Expert Layers (MDEL) Training:
|
10 |
## How to increase knowledge without breaking the bank?
|
11 |
|
|
|
|
|
12 |
Volunteers from:
|
13 |
-
|
14 |
|
15 |
|
16 |
Open sourcing AI models can lead to increased innovation, accessibility, transparency, and community building. However we need a mechanism to train more capable models in an efficient and modular way.
|
|
|
9 |
# Multi-Domain Expert Layers (MDEL) Training:
|
10 |
## How to increase knowledge without breaking the bank?
|
11 |
|
12 |
+
A project by Ontocord.AI and the open source community.
|
13 |
+
|
14 |
Volunteers from:
|
15 |
+
Bedrock.AI, TurkuNLP, ETH, Redmond.AI, Incite, MICS CentraleSupelec, Centro de Excelência em Inteligência Artificial, VietAI, Technion - Israel Institute of Technology, Nous Research, University of Western Australia, KoboldAI Community, LAION.AI, Mila
|
16 |
|
17 |
|
18 |
Open sourcing AI models can lead to increased innovation, accessibility, transparency, and community building. However we need a mechanism to train more capable models in an efficient and modular way.
|