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