cmaury
Joined 16 years ago
Joined 16 years ago
ex: https://www.riffusion.com/riffs/2a42259b-1557-4913-bc04-5f0a...
Amazing progress since the original announcement.
Are you working remotely with this set up?
In my mind, products that make use of ML are using ML services as the back end. An example would be the recent wave of bot companies: many are not rolling their own NLU system but rather leveraging services like wit.ai or Microsoft's LUIS.
They've only just now released a Natural Language Understanding service in beta, and it is more limited compared to other NLU services from Microsoft/others.
While tooling is important, the market for low level tools is much smaller than for the services built using those tools. The vast majority of businesses who could benefit from Machine learning don't have the expertise to run RNNs using Tensor Flow, but do have engineers who can integrate API's that leverage trained classifiers.