Recent submissions

Comment · 1 year ago
Comment · 1 year ago
You likely mean sampler, not decoder. And no, the stronger the quantization, the more the output token probabilities diverge from the non-quantized model. With a sampler you can't recover any meaningful accuracy. If you force the sampler to select tokens that won't repeat, you're just trading repetitive gibberish for non-repetitive gibberish.
Comment · 2 years ago
Comment · 3 years ago
Amazing! The inserted objects are renders of textured 3D models and not generated by a diffusion model + ControlNet? Is there a fixed set of textured 3D models available or are they generated on the fly based on the prompt?
Comment · 3 years ago
Comment · 3 years ago
Super interesting! I’m currently writing my master thesis on analyzing relationships between subreddits based on user and semantic similarity. For user similarity I use the Jaccard similarity between the unique set of authors of each subreddit.

Can I send you a message and quote you in my thesis? You can shoot me a short message as well: [email protected]

Comment · 3 years ago
Still questions that I would assume are semantically similar to the questions you can find in exam prep material all over the internet. My point is that exams are a crutch we use to determine how well a person studied a subject. A crutch we use because we seem to lack better measuring devices. It's very much possible to ace an exam while at the same time being horrible at actually applying/working on a subject. I'd argue therefore that measuring how well LLMs perform on exams designed for humans is simply a more complicated Turing test, with all its shortcomings.
Comment · 3 years ago
Do you know that the answer key wasn't part of the train set of ChatGPT?
Comment · 3 years ago
Thanks! Just stumbled across your comment as well.
Comment · 3 years ago
Comment · 3 years ago
That's impressive. The audio track of your videos is so clean and well understandable that I was wondering if you used a studio setup or voice synthesis software. Well done!
Comment · 3 years ago
Ah, thanks! I didn’t know that and shouldn’t have used the first result that came up with a google search.
Comment · 3 years ago
Yes, it's easy to see you put a lot of thought into that. I hope your course receives much more exposure. When I first found your videos a few weeks ago, I was surprised how few views they have given to the quality of the course.

Do you record the voice track of your videos yourself?

Glad to see you published the final lesson about transformers. Was looking forward to that!

Comment · 3 years ago

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