HN user
That's what you get when you use speculative decoding and focus / overfit the draft model on coding. Then when the answer is out of distribution for the draft model, you get increased token rejections by the main model and throughput suffers. This probably still makes sense for them if they expect a lot of their load will come from claude code and they need to make it economical.
I for one support this system. I drive a VW with this feature and it's fine. It recognizes signs well enough. There's a built in grace of about 5km/h. The only thing the car does is that it produces a few gentle dinging sounds that are completely different from other warning sounds like parking sensors, when someone hasn't buckled in, door is open, etc.
I have no intention of speeding and welcome the warning to consider I may have missed a sign. And if it is wrong, or I wish to ignore it, it's only like three subtle dings before it shuts up. It's fine. Perhaps the issue is not in the law, but the specific car manufacturer in the article.
I haven't ever seen a server with 8x H100 NVL 188GB. The H100 NVL has 94GB of VRAM but they sell them in pairs connected with NVLink, so I guess they sometimes market them as 188GB, but in fact it's two cards and a server usually has 4 pairs.
I think you misunderstood what the "single market" in that article means. The EU doesn't want there to be a single marketplace (App store). The single market means unifying the different national European markets. The EU cares about maintaining that market, keeping it healthy and competitive and using it as a glue to keep the European nations together and peaceful.
convention that governs technology along a framework akin to a technology user’s bill of rights. No stealing information, no antipatterns, cancel subscriptions with a single click, etc…
What you're suggesting is exactly what the EU is doing through GDPR and now the DMA. The balancing act is them recognizing that these big powerful tech companies derive their value partly from their scale, network effect, etc. and trying not to, for example, try and break them up, but instead lay out a set of principles that a sufficiently big tech company has to comply with. These rules are designed to promote consumer interests and limit what is perceived as abuse of market power by forcing the companies to be more open to competitors.
As a European, I have to protest.
Pickpocketing is only a concern in tourist traps like if you went to visit the tower of Pisa out something.
And waking around my university buildings, it's very common to see people leaving their stuff including expensive laptops to reserve their spot in the library and random tables in hallways that have them. Though this is frowned upon if you're going for more than a few minutes.
No they haven't. It voluntarily and temporarily shut down. Someone was pretending to represent Reddit threatened to sue u/savevideo, but Reddit admins stepped in and confirmed it wasn't them and that they don't have anything against u/savevideo
For several years now, in the EU at least, all new cars need to have automatic emergency breaks. It's basically impossible to run into something, run someone over, etc. This kind of system reduces stress and gives at least me a certain peace of mind. In this regard Tesla self driving is a step backwards.
Alamut by Vladimir Bartol
Written in 1030's by a Slovenian, it's a historical fiction novel set in the in 11th century what is now Iran. It tells the story of how a radical leader of an Islamic faction, based in the impenetrable mountain fortress "Alamut", manipulates young men into perfect obedience and turns them against his enemies through the use of drugs and a fake paradise full of women purporting to be heaven.
It is also one of the major inspirations for the Assassin's Creed series of games.
I don't know about CNTK, but Tensorflow and I think PyTorch don't have _good_ distributed training.
They use a distributed training model that utilizes parameter servers, which scales nowhere near Horovod's mpi solution.
Even for single-machine-multi-gpu solutions, only now in Tensorflow 1.8 is pure tensorflow as fast as Horovod with it's estimator MirroredStrategy. If you watch Tensorflow dev days 2018, the devs say they're working on bringing something like Horovod to pure Tensorflow
Does anyone have an example of the "documentation of data processing activities"?
Edit: Especially in the context of a company that does not handle/store customer data, but only employee info.
forestry.io works with Jekyll/Hugo.
They don't have a choice under GDPR.
PING 8.8.8.8 (8.8.8.8) 56(84) bytes of data.
64 bytes from 8.8.8.8: icmp_seq=1 ttl=55 time=19.6 ms
64 bytes from 8.8.8.8: icmp_seq=2 ttl=55 time=19.9 ms
64 bytes from 8.8.8.8: icmp_seq=3 ttl=55 time=19.8 ms
64 bytes from 8.8.8.8: icmp_seq=4 ttl=55 time=19.7 ms
64 bytes from 8.8.8.8: icmp_seq=5 ttl=55 time=19.8 ms
64 bytes from 8.8.8.8: icmp_seq=6 ttl=55 time=19.7 ms
64 bytes from 8.8.8.8: icmp_seq=7 ttl=55 time=19.8 ms
64 bytes from 8.8.8.8: icmp_seq=8 ttl=55 time=19.7 ms
64 bytes from 8.8.8.8: icmp_seq=9 ttl=55 time=19.8 ms
PING 1.1.1.1 (1.1.1.1) 56(84) bytes of data.
64 bytes from 1.1.1.1: icmp_seq=1 ttl=57 time=0.390 ms
64 bytes from 1.1.1.1: icmp_seq=2 ttl=57 time=0.565 ms
64 bytes from 1.1.1.1: icmp_seq=3 ttl=57 time=0.472 ms
64 bytes from 1.1.1.1: icmp_seq=4 ttl=57 time=0.556 ms
64 bytes from 1.1.1.1: icmp_seq=5 ttl=57 time=0.560 ms
64 bytes from 1.1.1.1: icmp_seq=6 ttl=57 time=0.573 ms
64 bytes from 1.1.1.1: icmp_seq=7 ttl=57 time=0.359 ms
64 bytes from 1.1.1.1: icmp_seq=8 ttl=57 time=0.575 ms
64 bytes from 1.1.1.1: icmp_seq=9 ttl=57 time=0.543 ms
64 bytes from 1.1.1.1: icmp_seq=10 ttl=57 time=0.548 ms
Edit: formatting
This Reddit post by a struggling Phd student has some great advice on catching up on maths.
https://np.reddit.com/r/MachineLearning/comments/73n9pm/d_co...
I got an Asus vivobook pro a few weeks ago. It came with endless linux. I'm now running Ubuntu 17.10 and I've had no issues. Everything just works, including all the backlight / brightness control buttons.
The Nvidia settings gui (comes with drivers) allows me to switch between Nvidia and intel graphics. With intel graphics card selected and the tlp package (apt install tlp, no additional setup, should be installed by default imho), I get 60-90 minutes more than reviewers got on windows.
Those don't have Google docs style collaborative editting.
As opposed to the fuchsia netstack written in Go by Google https://github.com/fuchsia-mirror/netstack
Why so many netstacks in Go? I would imagine even the tiny GC pauses Go has would be undesirable for a netstack.
What? Where exactly in Eastern Europe? I'm deeply concerned by this.
I'm a bit uneducated when it comes to the cryptography involved, but I'm wondering why people here are so determined DRM can't ever work?
Is it because someone will somehow get a copy and upload to torrents/streaming sites which of course won't have DRM. Thus only potentially annoying legitimate (eg. Netflix) users? Or are there other concerns?
Web Browser: Chrome, Firefox
Email Client: Various web clients
Terminal: Gnome Terminal
IDE: VS Code
File manager: Nautilus
Basic Text Editor: vim
IRC/Messaging Client: Slack, Discord
PDF Reader: Chrome, Evince
Office Suite: Google drive web
Calendar: Google calendar web
Video Player: VLC
Music Player: Spotify non-free
Photo Viewer: The default one
Screen recording: None
Tensorflow has the solution to all problems :)
https://github.com/tensorflow/models/tree/master/slim
This is a flexible image recognition framework written in Tensorflow and TFslim
It allows you to train/fine-tune a NN from the command line by specifying only the few details necessary... which NN architecture to use, path to custom data, etc.
I think he meant open source
Can you elaborate what the issue is? The site looks nothing like that to me. I see much more contrast. http://imgur.com/g49XOip
I ask because I like and plan to use Raleway on my blog and would hate to have readability issues.
Because Uber will go very far to track you and your multiple accounts: http://www.independent.co.uk/life-style/gadgets-and-tech/new...
They refer to this benchmark in the blog post - http://dlbench.comp.hkbu.edu.hk/
There is also the v7 benchmark done on a lot more hardware and where tensorflow fares a bit better - http://dlbench.comp.hkbu.edu.hk/?v=v7
Does anyone know whether TF had a performance regression between v0.11 and v1.0 or if it was just lucky on benchmark v7 and unlucky on v8?
Also, how does CNTK manage to be that much better than anyone else on LSTMs? It's ability to scale to bigger batch sizes is unreal. Order of magnitude faster than other frameworks.
-FLAVOR: Ubuntu Desktop
-HEADLINE: Network manager that works
-DESCRIPTION: The single thing that would make Ubuntu seem 10x more polished than it now is the horrible state of the network manager.
The little wifi bar in the top right. Sometimes, randomly, after dropping a wifi connection, or going to sleep and waking it will:
1) Stop listing SSIDs except the one I've already configured and want to connect to. (But I know there's more)
or
2) Show the "wired connection" icon. Gray out the entire wifi section of the network manager dropdown menu. All while it is actually connected to some wifi and I can use the internet.
These issues are mostly fixed by a `systemctl restart network-manager`, but sometimes require a full restart.
I'm the kind of person that recommends people to get Ubuntu. "Everything just works nowadays on Ubuntu". Then I get a call a week later and have to explain to them "just type sudo systemctl restart network-manager into terminal" They then give me the "What? That is so stupid."
ROLE/AFFILIATION: Student / Sysadmin / Machine (Deep) Learning Engineer / Memeber of a students' club that organizes an event on every Ubuntu release where we help fellow students dual boot Ubuntu (or another Linux distro, but we recommend Ubuntu)
EDIT: formatting.
There's some on their kickstarter page.
He did pentesting for Kuwait government.
He's saying he could have done it.
Try http://www.joylent.eu It's the european clone. I love it.