potatoman22

6 ms·

1.
by potatoman22 14d ago
I think a good "traditional" approach would look like a BM25 algorithm over an index of trigger phrases for each category, sitting behind a majority-vote classifier. The "fine tuning" would be done by reindexing the data
2.
by potatoman22 17d ago
I think that's to demonstrate its speed
3.
by potatoman22 1mo ago
Adding this to my homelab, thanks for the web browser option. How does your son use the backing tracks? Does he mute bass/drum, or play along with them?
4.
by potatoman22 1mo ago
I have about 60 hours of my own playing in midi data. I wonder if I could fine-tune this model on that?
5.
by potatoman22 4mo ago
It's not specific to SQLlite per se, but that's what most dashboard builders are
6.
by potatoman22 4mo ago
I was trying to say there's precedent for using ML in this field. I don't think they even said this product is an image generation model. It's probably some ML version of this https://en.wikipedia.org/wiki&#x2
7.
by potatoman22 4mo ago
Generative models have been used in healthcare for a while for things like drug design and data generation. Not to mention all the algorithms (and probably ML) used in generating results for MRI and CT scans. I don't think this is that
8.
by potatoman22 4mo ago
I'd wager that for 99.9% of "Apple Intelligence" tasks, Google's models perform just as well as other frontier labs. Google also has done more work on getting LLMs running on edge devices compared to anthropic and openAI
9.
by potatoman22 4mo ago
Picking an equal weight fund is closer to picking specific stocks than investing in the S&P500 imo
10.
by potatoman22 4mo ago
I wonder why they didn't use a Bonsai model as the text encoder
11.
by potatoman22 4mo ago
It reminds me of the Nord theme https://github.com/nordtheme/nord
12.
by potatoman22 5mo ago
Google should know why a human accepted the automated suggestion, or if and why there wasn't any human oversight in the first place.
13.
by potatoman22 5mo ago
This reminds me of control vectors, especially this line in the linked DwarfStar repo: > y = y - scale * direction[layer] * dot(direction[layer], y) From https://vgel.me/posts/representation-engineering/ > A
14.
by potatoman22 5mo ago
Neat! It seems like Qwen 9b took the same amount of time as gemma4-e4b too, which is interesting. I haven't been able to get Qwen to stop thinking so much
15.
by potatoman22 5mo ago
Not to be nitpicky, but many of the 4-12b models are somewhere between GPT-3.5 and GPT-4o-mini. It's hard to find a good comparison though, because the benchmarks people score models against change so often. For reference, Sonnet 3.6 c
16.
by potatoman22 5mo ago
The website has a "chat" link near the top
17.
by potatoman22 6mo ago
There's a point where they meet, but "faking it until you make it" doesn't work for productivity in the same way it doesn't work for getting rich. But there's a secret: just buy my $399 masterclass and I'l
18.
by potatoman22 7mo ago
Bloomberg made a good video about this https://www.youtube.com/watch?v=-gjnrMg9iSo
19.
by potatoman22 7mo ago
How did you install parakeet? It was a nightmare to install on windows
20.
by potatoman22 8mo ago
This project is called Levin, so Anna Kareninina. However, I learned Anna (as in the archive) is a pseudonym, so this is probably not the case.
21.
by potatoman22 8mo ago
Great name haha. Is Anna a reference to who I think it is?
22.
by potatoman22 8mo ago
https://en.wikipedia.org/wiki/Automation_bias
23.
by potatoman22 8mo ago
I'm a software engineer, but I use it to write down hypotheses: the cause of a bug, how I'm guessing a system works, potential fixes for said bugs, what I think this piece of documentation means, etc
24.
by potatoman22 8mo ago
What theme did you use? I really like the "garden" theme
25.
by potatoman22 8mo ago
Someone should analyze this and share results. The data should be there
26.
by potatoman22 8mo ago
I've definitely noticed an association between how much I vibe code something and how good my internal model of the system is. That bit about LLM users not being able to quote their essay resonates too: "oh we have that unit test?
27.
by potatoman22 9mo ago
I wouldn't say so. Audible gives you 1 book a month for $15. Most e-books I see are around $10.
28.
by potatoman22 9mo ago
You need to buy an apple device
29.
by potatoman22 9mo ago
Elaborate?
30.
by potatoman22 10mo ago
What's the use case of models like T5 compared to decoder-only models like Gemma? More traditional ML/NLP tasks?

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