Virtual Ghost Writer VS Apple Core ML
Compare Virtual Ghost Writer VS Apple Core ML and see what are their differences
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Virtual Ghost Writer
Anyword
Craftly.AI
Copysmith
Hypotenuse AI
Phrasee
Copy.ai
Wordtune
Apple Core ML
Amazon Machine Learning
TensorFlow Lite
Roboflow Universe
ML5.js
Machine Learning Playground
Lobe
Apple Machine Learning Journal
Virtual Ghost Writer Apple Core MLBased on our record, Apple Core ML should be more popular than Virtual Ghost Writer. It has been mentiond 7 times since March 2021. 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 the time I decided to sell Virtualghostwriter.com, it had made around $2,500 in revenue and was at $200 MRR. I decided to sell it because I just wasn't able to take it to the next level, and would rather have the cash to build something else. (I'm sure many makers can relate to this). Source: over 2 years ago
I ended up acquiring: Virtualghostwriter.com An app that uses GPT-3 to generate different types of copywriting like summarizing text, article writing etc. Source: over 2 years ago
Just found virtualghostwriter.com but haven't tried it yet. Source: almost 3 years ago
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 / 2 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 / 4 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: 12 months 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 / 12 months ago
This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: over 2 years ago
Anyword - An AI platform for creating effective marketing copy, trained on tens of millions of successful ads.
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Craftly.AI - Meet Craftly.
TensorFlow Lite - Low-latency inference of on-device ML models
Copysmith - GPT-3 powered content marketing that feels like magic
Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.