Viewing profile — simedw

Nice package, not only is using words more token-efficient [saving time and money], but weaker models are also less likely to make mistakes when providing the key, at least in my t…

Cool project! I noticed that if you go from training to watch and then back, the training temporarily drop significantly in score.

No offense, but are you a bot?

Agreed, it almost feels like we have a visual processing unit with special “opcodes” for operations like depth matching and pattern repetition. The generator first needs a depth ma…

I think this speaks for itself: simedw ~ $ claude -p "random number between 1 and 10" 7 simedw ~ $ claude -p "random number between 1 and 10" 7 simedw ~ $ claude -p "random number …

Great suggestin, added a toggle to see pinyin.

Thank for the great feedback! I have just added sandhi support, please let me know if it's working better.

Hi, thanks for the feedback. The 了 issue was a bug on the JavaScript side; that should be fixed (training did thankfully handle it correctly). The other two are probably things tha…

It’s fairly sensitive to background noise at the moment. I’m planning to train an improved version with stronger data augmentation, including background noise.

For accents, I’ve mostly tested with a few friends so far. I’m wondering whether region should be a parameter, because training on all dialects might make the system too lax.

Thank you. I had a quick look at Farsi datasets, and there seem to be a few options. That said, written Farsi doesn’t include short vowels… so can you derive pronunciation from the…

Built this because tones are killing my spoken Mandarin and I can't reliably hear my own mistakes. It's a 9M Conformer-CTC model trained on ~300h (AISHELL + Primewords), quantized …

It would be neat if it had a headless mode.

https://simedw.com personal site, mostly posts regarding various experiments

First of all, big kudos for not missing a single day. When I used flashcards in the past, missing even a couple of days led to an avalanche of cards to review. Since you’ve been so…

Thanks for the questions. Very fair concerns. Take all of this with a fairly large pinch of salt; this is still an experiment. 1. How does it know which words I already know? It do…

This is a simplified version: Journey to the West in Easy Chinese by Jeff Pepper and Xiao Hui Wang. Otherwise, I would definitely have waited a bit before biting off something like…

Surprisingly easy. If the language has a lot of conjugations (e.g., polite past verb forms), running each word through Snowball first makes the process a bit easier.

That's a really cool concept. Naively replacing words might work, but sometimes the context is needed. Maybe a model like gemini 2.5 flash lite would be fast enough but still maint…

Thanks for sharing; you clearly spent a lot of time making this easy to digest. I especially like the tokens-to-embedding visualisation. I recently had some trouble converting a HF…

Thanks! I think getting comfortable with characters fairly early is important, as it helps shift your mindset into the right place. That said, I don’t think this project really wor…