This would be cool. I suspect that people don't implement this model because it's a long tail of users requesting this. This is totally feasible technically.
HN user
dhruvbird
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Very cool. I'm a big fan of swipe. So much so that a bunch of us a Grammarly re-implemented it using a similar technique about 2 years ago on the Grammarly iOS keyboard, so if you want to experience something similar on iOS, you can head to the app store https://apps.apple.com/us/app/grammarly-ai-keyboard-notes/id... and use the qwerty english keyboard layout to get this neural net version of swipe.
See https://www.grammarly.com/blog/engineering/deep-learning-swi... for more details - it's very similar to the architecture described by the FUTO folks.
One key difference is that the learned model does not decode in a context sensitive manner but does it a word at a time. The main reason is because we wanted to release this soon and wanted the user's personal dictionary (i.e. contact names, etc... to show up correctly when swiped). It would have been nice if we could have followed through with the context sensitive decoding as described by the FUTO folks. It would really help with accuracy when dealing with words like:
1. (food, good, hood) 2. (you, toy, rot) 3. (our, or, it) etc...
(Disclaimer: I am one of the authors of the Grammarly swipe system as described in the linked blog post).
This ^^^^
While the provided schema has a "quantity" field, it doesn't mention the units.
<code>
class Item(BaseModel):
name: str
price: float = Field(description="per-unit item price")
quantity: float = Field(default=1, description="If not specified, assume 1")
class Receipt(BaseModel): establishment_name: str
date: str = Field(description="YYYY-MM-DD")
total: float = Field(description="The total amount of the receipt")
currency: str = Field(description="The currency used for everything on the receipt")
items: list[Item] = Field(description="The items on the receipt")
</code>There needs to be a better evaluation and a better provided schema that captures the full details of what is expected to be captured.
What kind of error should it return if there's no total listed on the receipt? Should it even return an error or is it OK for it to return total = null?
Additionally, the schema allows optional fields, so the LLM is free to skip missing fields if they are specified as such.
I wonder if most people get the same things wrong. I checked your other comments and noticed that there is no server side component. In case you add one, I would be really interested in knowing which ones are most confused, and in which direction.
This is awesome! After about 50 attempts, I have a much better sense of what to look out for when I see something. I wish there were more such focused apps. for specific specific health related things.
Or waiting weeks could force you to think about the problem harder and eventually figure it out because you just spent more time on it this time.
How combustible are these batteries compared to the standard lower density ones, and if one of them catches fire, how easy/hard is it for the fire department to get it under control?
Did the blog mention any metrics like what the model size is etc... since that seems to be the one of the motivating factors?
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PyTorch is the most popular AI framework within the research community, and we’re working on making it production ready (especially on mobile devices).
You can see here (https://ai.facebook.com/tools/pytorch/) that the journey for Mobile (marked experimental) has just gotten started, and you’ll be jumping on to the bandwagon as it starts to leave the station!
Please drop us an email at (agaurav at fb dot com and dhruvbird at fb dot com), and we’d love to chat if this sounds interesting to you!
What's the tl;dr for this article? What's the key insight behind making compile times faster?
@kbenson Your explanation makes a lot more sense. Increasing the hash table size probably didn't affect the perf. significantly, but binding to the ANY ip did.
What does clashing column mean?
Any simple explanation for this? I'm interested in learning more about it.
People try to make the fit be as tight as possible to the sample data -- the explanation is that simple. I don't buy the explanation provided in the article.
@bedhead hit the spot with his comment "Circumstances matter. I suppose if Uber hadn't entered into a partnership first, the whole thing would be more palatable. But by going this route, Uber is sending a clear signal to all potential future partners - watch out. I just find it distasteful, and sadly predictable given Uber's history."
Do you mean to say that it's okay for private operators to discrimate based on whether their potential client is disabled or not (when it has nothing to do with the safety of the client or the driver)?
Is prostitution perfectly fine?
Secret is probably a very successful social experiment.
FYI google isn't on that list: http://tech.firstpost.com/news-analysis/facebook-and-relianc...
Thanks - just submitted it at http://www.dot.ca.gov/hq/maint/msrsubmit/
I think you're better off demanding an explanation since I would expect that companies become more serious about this sort of thing as they grow rather than less serious (as seems to be happening).
Thinkpad personally, but I am the 2% not using a MBP I feel.
Couple of questions about the post (since the link above doesn't seem to allow comments):
1. Were the numbers for the chart "Willingness to wait in a city 2013 v/s 2014" generated based on estimates from the Uber app or real wait times that were logged once the customer was picked up?
2. Also, looking at the same graph, it seems some of the rides that were not completed because the ETA was < 4.5 minutes (Probability=1) could have trivially been completed had Uber just dispatched the driver a little later (or had the driver delayed him/her-self a bit).
3. What is the volume of rides as a % for each range of waiting times for the ETA?
4. What is the revenue per ride as a % of total revenue for each range of waiting times for the ETA?
Can I do the same with Makefiles?
Google cache link: http://webcache.googleusercontent.com/search?q=cache:3TBNlgP...
"85,66% guaranteed uptime (we need some sleep, too)" lol!!!
Multiplexing is something that many application protocols could make use of and should be added between the application protocol and TCP, and not engineered into every application protocol. Plus, HTTP is supposed to be a simple text-based protocol that I can run by typing into a telnet window. It doesn't seem possible in HTTP/2.0 though :-/
On small setting for Linux, one dramatic performance improvement for LinkedIn!
should be...
you know what it should be ;)
Yep. I think I forgot to paste in the real offender. Here's something though. https://news.ycombinator.com/item?id=6519628
Sorry about that. I think I messed up. Here's something real: https://news.ycombinator.com/item?id=6519628