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zacmps
searching PlanetScale…
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6 ms
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31.
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by
zacmps
2y ago
Correct
32.
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zacmps
2y ago
People would do the same if curl was publicly funded, that doesn't mean it would be a bad idea.
33.
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zacmps
2y ago
It's not something I've needed to deal with personally. We have run into added content filters in Azure OpenAI on a different application, but we just put in a request to tune them down for us.
34.
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by
zacmps
2y ago
I've found the highest accuracy solution is to OCR with one of the dedicated models then feed that text and the original image into an LLM with a prompt like: "Correct errors in this OCR transcription".
35.
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zacmps
2y ago
In some countries (NZ for example) this does not exempt you from reporting requirements unless your total spend falls under NZD$15,700.
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zacmps
2y ago
For me the demo pulled up flights, but in USD, I'd need it to be localised to be useful. Airlines also tend to present different prices for different locations/currencies so I doubt this would be as simple as a UI change (though t
37.
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by
zacmps
2y ago
You can also use a mutex that doesn't own data in Rust if you need to.
38.
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by
zacmps
2y ago
Correct
39.
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zacmps
2y ago
Sight correction, at least in my understanding (physics major but only undergrad) this explicitly isn't communication. It's not possible to use entanglement to transmit information faster than light, even though the entanglement
40.
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zacmps
2y ago
It's been brought up elsewhere in the thread but GCP deleting an entire tenant's account rules them out entirely from any serious business IMO.
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zacmps
2y ago
Super cool to see you here. I've also looked at ray for running data pipelines before (at much much smaller scales) for the reasons you suggest (unstructured data, mixed CPU/GPU compute). One thing I've wanted is an increment
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zacmps
2y ago
Personally I think chemistry is going to trail a long way behind biology for a while (in terms of ML solutions). The data, supporting libraries, and funding doesn't seem to be on the same level.
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zacmps
2y ago
One of the (many) problems with the market is that consumers have imperfect information. In this case specifically it's almost never possible to have an accurate picture of a company's security in advance of a mistake like this on
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zacmps
2y ago
I'm sure it's no where near good enough yet, but a legal model getting the answer right 83% of the time is still quite impressive imo.
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zacmps
2y ago
Syngas can also be converted to other products through gas fermentation.
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zacmps
2y ago
Seconding this, I'd love to add an interface like this to a RAG setup.
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zacmps
2y ago
Nope, I tried it for graph and diagram understanding and it wasn't good enough. Planning to repeat the evaluation with 4o when I have time.
48.
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by
zacmps
2y ago
They might have meant a type like `Result<T,E>`
49.
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zacmps
3y ago
What? Anonymous functions are amazing for: * Iterators (map, reduce, filter) * Callbacks (ui actions) * Threads/async tasks The reason I don't name them isn't because I can't think of a name, it's because: * There&#
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zacmps
3y ago
It might not be obvious when you hit that point, bad regexes can be subtle, just see that old cloudflare postmortem.
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zacmps
3y ago
On an SSD I'd drop random to 1-1.2.
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zacmps
3y ago
It absolutely makes sense viewed through the lens of early 2000s antitrust cases (esp. those against Microsoft). The landscape has obviously changed since, but not for any good reason in my opinion.
53.
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zacmps
3y ago
Ah true, I guess it's still 258 positions by 100,000 possible tokens though.
54.
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zacmps
3y ago
Remember, if it's using a similar tokeniser to GPT-4 (cl100k_base iirc), each token has a dimension of ~100,000. So 258x100,000 is a space of 25,800,000 floats, using f16 (a total guess) that's 51.6kB, probably enough to represent
55.
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zacmps
3y ago
I think the same thing happened to 'actual.'
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zacmps
3y ago
> The author (the human learner) has some formal experience in linguistics and has studied a variety of languages both formally and informally, though no Austronesian or Papuan languages From the language benchmark (parentheses mine).
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by
zacmps
3y ago
I've been using 'build' as in, 'build a dataset'. I think it gets the same idea across without being as easy to confuse with fine-tuning.
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zacmps
3y ago
It's possible to build RAG pipelines that support answering complex questions over multiple documents, and I don't think I would say the whole architecture needs to change. Doing it fast is another story, LLMs are pretty high late
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by
zacmps
3y ago
LLMs also have huge potential for helping us understand genetics, see Facebook's ESM for example.
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by
zacmps
3y ago
Because it causes preventable harm.
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