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It is an approach problem. You can engineer it as much as you want but the current architectures wont get us to AGI. I have a feeling that we will end up over engineering on an approach which doesn't get us anywhere. We will make it work via guardrails and memory and context and what not but it wont get us where we want to be.

Is there a discord?

We have just started open sourcing the on-device AI platform.

We have started with the github repo for custom Kokoro TTS model. It is basically a batch implementation for Kokoro while supporting streaming.

https://github.com/nimbleEdge/kokoro

We will soon share the discord community too.

Thanks for this

Made the change in the post. Thanks for this. Not able to change it here.

Logistic regression is a really good method and takes time to get right. But it is indeed one of the most performant models in multiple companies

Nothing in it for wind energy though

Not much for solar too, given the 175 GW target by 2022

The renewable energy target is a hyperbola

Thats what we need to save the world

Have worked on a few Big Data projects: - Sensor Data from haul trucks to predict their failures and optimize their routes in the mines - Telematics data for insurance companies

Quora's approach to the same question is interesting http://www.quora.com/How-to-explain-callbacks-in-plain-Engli...