> heavy R&D in AI / LLM / GPT
Can you expand on your plans in the AI space? I'm full stack for everything ML related with 7 years in the field, but quite limited frontend wise! If that's something that can be valuable to your team I can get in touch
1,949 karma · joined April 26, 2018
contact at paulw dot tokyo
blog: https://paulw.tokyo
twitter: @PaulWTokyo
> heavy R&D in AI / LLM / GPT
Can you expand on your plans in the AI space? I'm full stack for everything ML related with 7 years in the field, but quite limited frontend wise! If that's something that can be valuable to your team I can get in touch
Few posts a year, mainly about machine learning
Though I have to agree that it's a bit unclear how to proceed at first. Maybe make a link to the tutorial more easily accessible, or even auto-suggested on first visit?
[1] https://paulw.tokyo/post/real-time-semantic-search-demo/
https://support.brave.com/hc/en-us/articles/360022806212-How...
Thanks for the detailed comment, I definitely will dive into your script soon! One early suggestion, you might want to try torch dynamo [1], anecdotally I had good speedups (~20%) on some image models; though not sure how significant the impact might be at this (relatively) small scale.
https://myrtle.ai/learn/how-to-train-your-resnet-8-bag-of-tr...
> The major version number is incremented when the number after the dot starts looking "too big." There is literally no other reason. [1]
I imagine that here apple wants to highlight a more research/interactive use, for example to allow fine tuning SD on a few samples from a particular domain (a popular customization).
[1] https://onnxruntime.ai/docs/execution-providers/CoreML-Execu...
Pick a real problem, try to build a ML solution for it and while doing so keep a list of things you'd like to dig deeper into. Then go back to that list and pick one item to study, and iterate.
Happy to have a chat and give you specific pointers if you'd like (email in profile), I got my master in ML in 2016 and applied it in the industry since.
Translation: I use DeepL instead (google is doing poorly on Asian languages)
Conversion: not having much need for imperial but I use this for all unit conversion (though usually directly in my terminal): https://insect.sh/
Wikipedia: if I type Wikipedia+something my browser automatically use the wiki engine (chrome can do that too)
Word definition: on OSX I long press on the trackpad and the definition pops up (across languages, translation too for single words)
Lyrics: Spotify show them now! (admittedly that's a recent feature)
https://abhitronix.github.io/vidgear/v0.2.5-stable/bonus/ref...
The research is moving fast though, so if you want something almost as fast without specialized CUDA kernels (just plain pytorch) you're in luck: https://github.com/apchenstu/TensoRF
As a bonus you also get a more compact representation of the scene.
/s
https://en.m.wikipedia.org/wiki/Raising_the_Bar_(South_Park)