This is true, and it's why I hesitated to file legal action. My goal was to benefit hackers. If the outcome causes problems for people who are just trying to share their work, I'd be upset. Ultimately what convinced me to proceed is that there are immense forces pressuring ML models to become SaaS companies. It's very difficult to offer an ML model for extended periods without being a company. E.g.... - Source: Hacker News / 11 months ago

I believe Eleuther was much more selective what training data to use which is why they didn't need so many parameters. But is sounds like they're a pretty dedicated crew that will be working to make more open-source alternatives for ChatGPT for years to come. I'll bet there will be something with a massive parameter set in the next few years... Plus Elon made that announcement that he wants to put a bunch of... Source: about 1 year ago

They hinted at it in the screenshot, but the goods are linked from the https://6b.eleuther.ai page: https://github.com/kingoflolz/mesh-transformer-jax#gpt-j-6b (Apache 2). - Source: Hacker News / over 1 year ago

Ah, yes. I remember I did this with Emerson AI, only that I expanded Emerson AI's text with 6b.eleuther.ai, sent it to Blenderbot 3 so he can learn about the issue over time, then copy/pasted that into dall-E mini to generate the image. Source: over 1 year ago

Https://6b.eleuther.ai (I’m not sure if this is any good but give it a try anyway ~). Source: over 1 year 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 / 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