Open-source AI tools and solutions ARE available but they’re not easy to implement, aren’t always compatible, & each solves only a small piece of the puzzle. That’s why – despite growing adoption – AI is still difficult to deploy. That’s also why LF AI Foundation (LF AI) was established – to reduce solution fragmentation, encourage project, company & developer collaboration, & drive the effective use of AI tools and solutions to increase adoption and innovation. LF AI ground-breaking projects include Acumos AI (open-source marketplace for Machine-Learning models initiated by ATT), Angel (a high-performance distributed machine learning platform contributed by Tencent), Horovod (distributed training framework for TensorFlow, Keras, & PyTorch contributed by Uber) and more. Here Dr. Ofer Hermoni explores LF AI projects & activities, including a very cool AI open-source landscape tool. Ofer also presents the opportunities & benefits of actively participating in the LF AI community.
