Based on our record, NovelAI seems to be a lot more popular than Scale Nucleus. While we know about 141 links to NovelAI, we've tracked only 2 mentions of Scale Nucleus. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
At Scale we built a tool for model debugging in computer vision called Nucleus (scale.com/nucleus) designed exactly for this, which is free try out if you're curious to see where your model predictions are most at odds with your ground truth. Source: over 2 years ago
To address your point about gathering edge cases, which can also be defined as cases of low model fidelity for our use cases, there is active learning and tools such as Aquarium Learning and Scale Nucleus which make it easy to implement into workflows. Source: almost 3 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: almost 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
PerceptiLabs - A tool to build your machine learning model at warp speed.
Holo AI - Write & play AI stories
Aquarium - Improve ML models by improving datasets they’re trained on
Dreamily - Dreamily, AI-assisted creative writing tool for literary enthusiasts and creators.
ML Image Classifier - Quickly train custom machine learning models in your browser
GPT-J - Open-source cousin of GPT-3, everyone can use it