On the machine learning side of AI, they have CoreML. You can drag-and-drop images into Xcode to train an image classifier. And run the models on device, so if solar flares destroy the cell phone network and terrorists bomb all the data centers, your phone could still tell you if it's a hot dog or not. https://developer.apple.com/machine-learning/ https://developer.apple.com/machine-learning/core-ml/... - Source: Hacker News / 3 months ago

Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / 5 months ago

For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago

> It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers. * Apple Silicon CPUs have a Neural Engine specifically made for fast ML-inference * Apple supports PyTorch (https://developer.apple.com/metal/pytorch/) * Apple has its own easily accessible machine-learning framework called Core-ML (https://developer.apple.com/machine-learning/) So it would be inaccurate... - Source: Hacker News / about 1 year ago

This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: over 2 years ago

All your questions are answered on https://novelai.net/. Source: 12 months ago

If you want to know exactly which apps I used. The chats use Stable Diffusion, so you can go there and generate whatever you like directly, instead of messing with chat interfaces. As for the websites that do this for you, I'm pretty sure they're using stable diffusion as well. To access stable diffusion, go to https://dreamstudio.ai/generate If you want to try novel AI, go to https://novelai.net and get the basic... Source: about 1 year ago

For fictional stories, Sudowrite [https://www.sudowrite.com/] and NovelAI [https://novelai.net/]. For writing in general, Copy AI & WriteSonic are great alternatives (links are listed in the official post). Source: about 1 year ago

The service framework I aim to simulate is https://novelai.net/ where they allow 50 text generation before signing up and 50 text generations after signing up. However, it was pretty simple to modify my local storage for unlimited text generation. My main concern is how can I track the users who have yet to sign up? Source: about 1 year ago

To preface this, I've been playing around with AI-assisted novel writing for a while, having used HoloAI and NovelAI quite extensively, and playing around with KoboldAI and the Nerys and Erebus models they've trained. So far, my impression had been that the quality of the locally hosted models didn't quite live up to the paid offerings, coming down to (presumably) less finetuned models and less capable GUIs. Source: about 1 year ago