curl-up

8 ms·

31.
by curl-up 2y ago
Strongly recommend The Great Beauty from the same director (Paolo Sorrentino), IMO his greatest work by far.
32.
by curl-up 2y ago
Sorry, I completely missed you're from the Code team. I was actually asking about the vanilla API. Any insights into those limits? It's still missing the TPM number in the console.
33.
by curl-up 2y ago
In the console, TPM limit for 3.7 is not shown (I'm tier 4). Does it mean there is no limit, or is it just pending and is "variable" until you set it to some value?
34.
by curl-up 2y ago
Can anyone point to any sources on these anonymous letters?
35.
Boardy AI raises $8M seed round months after closing pre-seed(techcrunch.com)
2 points by curl-up 2y ago|0 comments
36.
by curl-up 2y ago
Hey, thanks for jumping into the thread! I stumbled upon Lightcell a couple of days ago after seeing the episode of First Principles [1] podcast, and found it really interesting, so decided to share what you're doing with HN. [1] http
37.
by curl-up 2y ago
Can you please give some real-world example of why it's easier to do calculations? Not disputing what you say, just hard for me to imagine why it would be so.
38.
Lightcell: An engine that uses light to make electricity(lightcellenergy.com)
229 points by curl-up 2y ago|136 comments
39.
by curl-up 2y ago
> while using this implicit knowledge and feedback it gets from running the program. What feedback, and what program, are you referring to?
40.
by curl-up 2y ago
I pull messy data from a remote source (think OCR-ed invoices for example), and need to clean it up. Every day I get around 1k new rows. The way in which it's messed up changes frequently, and while I don't care about it being 100
41.
by curl-up 2y ago
Could you give an example of an AI capability that would change your mind on this, even slightly? "Sniff test" is rather subjective, and job replacement rarely happens with machines doing something better on the exact same axis of
42.
by curl-up 2y ago
So they should start every one of their posts, on that same site, with a summary of what is available on the homepage?
43.
by curl-up 2y ago
Does this mean you won't support pgvecto.rs anymore?
44.
by curl-up 2y ago
From my limited experience, core issue is that some people (a majority in some orgs) require other people to be around them to be productive/happy/whatever. And a lot of people don't have the freedom to choose where they work
45.
by curl-up 2y ago
IMO one of the best horror movies, and one of the best documentaries, even though it's neither of those.
46.
by curl-up 2y ago
Which part of the "my work revolves around such new models" did you misunderstand? Claiming that: > Ofcourse embeddings prefixed will be generally closer. and then later: > When I need to use embeddings for temperature or sc
47.
by curl-up 2y ago
Tone of your post is really strange and condescending, not sure why. You made a statement that I, in my work, very often see people make when they first start learning about embeddings (expecting words that we humans see as "opposite&q
48.
by curl-up 2y ago
I assume that by "ChatGPT embeddings" you mean OpenAI embedding models. In that case, "burning" and "freezing" are not opposite at all, with a cosine similarity of 0.46 (running on text-embedding-large-3 with 1
49.
by curl-up 2y ago
Isn't most infrastructure rented? I fail to see how SaaS is special in this respect. You rent internet access from your ISP, you rent roads when you pay tolls, you rent sewage access, etc. Saying that software is infrastructure only su
50.
by curl-up 2y ago
Additionally, using any Wiki page is misleading, as LLMs have seen their format many times during training, and can probably reproduce the original HTML from the stripped version fairly well. Instead, using some random, messy, scattered-wit
51.
by curl-up 2y ago
This is very interesting, thanks for pointing it out! I really dislike cilantro, and to me it always tasted strongly like stink-bugs (not that I ever tried eating one...). I never really understood the dish-soap reference though. So if this
52.
by curl-up 2y ago
No, I am just saying that the article is omitting a very important fact that would go against the argument it implies. I am not saying that it was necessarily genetically driven, I am simply saying that I find it strange that this other per
53.
by curl-up 2y ago
Full quote: > Coriander leaves fell even further out of fashion than the seeds because their distinct flavor clashed with the trendy imported ingredients of the time, such as rosewater. In 1544, physician and botanist Pietro Andrea Matti
54.
by curl-up 2y ago
I agree that it's refreshing for an article on cilantro to not be about that. But they make some very misleading implications by completely ignoring it.
55.
by curl-up 2y ago
> In 1544, physician and botanist Pietro Andrea Mattioli described the leaves as smelling like bed bugs or stink bugs... Incredible that neither this, nor the other linked article, even mention the fact that this stink-bug/soap tast
56.
by curl-up 2y ago
Yes, that's what I am mainly trying to replace, as the performance is just not there for my needs.
57.
by curl-up 2y ago
Anyone here have experience with extracting image embeddings out of these models? All the image emb. models I tried so far were quite bad for my use cases, and I feel that hidden representations of models like these might be much better.
58.
by curl-up 3y ago
Thanks for the input! Did you implement it in this kind of "multi-hop" way, or is there some trick I'm missing?
59.
by curl-up 3y ago
I tried most of such techniques, but the point is that this information really isn't in there directly, and to perform the question expansion, the model needs to know about the domain already. For example, imagine that one paper is abo
60.
by curl-up 3y ago
Does anyone have sources, or experience, about fine tuning primarily to teach the model some factual data, especially when it comes to later "higher level" question answering. For example, giving the model a bunch of text (academi

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