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shawwn#3694: nah, not looking for anything really. bmk#1476: Oh bmk#1476: Some help with memory consumption would be nice shawwn#3694: have you come up with a name for your server yet? shawwn#3694: @Brouz out of curiosity, how did you set this in your profile? https://cdn.discordapp.com/attachments/729741769738158194/7...
aegis#2320: 😛 Sid#2121: we have WebText almost done 🙂 Sid#2121: but thanks aegis#2320: ok shawwn#3694: if you don't name your server, how can you expect it to work well? Sid#2121: uhhh Sid#2121: does it need a name to work? shawwn#3694: poor server. nameless labor, destined to do one's bidding, with no thanks Sid#212...
aegis#2320: yeah aegis#2320: ah it looks like you just have a copy of the gpt python encoder in there aegis#2320: I can probably replace that with a python native extension aegis#2320: so you could leave the rest of the script as python but have a faster bpe function Sid#2121: Hey @joanna , @ch , @nikosdim ! Welcome to...
aegis#2320: the main annoying part about adding a native module would be giving you a clean build/install step Sid#2121: I have never touched a piece of C++ in my life, lol. So I wouldn't know how much that would complicate the process aegis#2320: looks like huggingface's tokenizers might be easier, if they're gpt2 com...
Sid#2121: these are both great btw aegis#2320: right after they finished tokenizing openwebtext? 😄 shawwn#3694: https://github.com/shawwn/gpt-2/blob/tpu/tokenize_dataset.py Sid#2121: but *please* someone submit a PR lol. if it's easy to implement pls do it shawwn#3694: no need to PR when it's a self-contained script s...
shawwn#3694: it's not multiprocessing, no. it's generally painful to set up (at least for me) shawwn#3694: feel free to ninja the code though. shawwn#3694: https://github.com/shawwn/danbooru-tools/blob/master/danbooru_to_tfrecord.py was my experience with multiprocessing in python, and it was quite enough Sid#2121: oh ...
malaclyps#4923: Joined the server. samuel s#6205: Joined the server. lacker#5924: Joined the server. ForgottenOrb#6802: Joined the server. ForgottenOrb#6802: how much funding is this project going to need? i saw in the doc that "some" was needed, but didn't see a particular estimate baragonaru#7305: why not call it Ope...
shawwn#3694: Every time a TPU fetches a tfrecord, it’s a class A op Sid#2121: sorry @baragonaru missed this one. we have TFRC creds shawwn#3694: And it does that constantly during training, for shuffling baragonaru#7305: so I don't know much about TPUs -- what would the approximate NVIDIA equivalent of what you have i...
bmk#1476: We were planning on ~~begging~~ asking google nicely if we could somehow use a 2048 more than about an hour a day, lol bmk#1476: See the document for compute estimates for 1T bmk#1476: #documentation jekbradbury#2280: ok, you have reasonable estimates there shawwn#3694: The spatial partitioning did “just work...
shawwn#3694: I’ve been meaning to reverse engineer how the profiler works, in hopes of maybe being able to trick the TPU into dumping the compiled output (or an equivalent) jekbradbury#2280: i think we even expose the optimized HLO in JAX TPU colabs baragonaru#7305: ok, pardon my ignorance, but if hypothetically one d...
shawwn#3694: https://cdn.discordapp.com/attachments/729741769738158194/733482294311911464/image0.png,https://cdn.discordapp.com/attachments/729741769738158194/733482294685204551/image1.png shawwn#3694: Referenced notebook: https://colab.research.google.com/github/google/jax/blob/master/cloud_tpu_colabs/Pmap_Cookbook.i...
shiva.adam#8165: Joined the server. bmk#1476: welcome @shiva.adam @sammyjack to LibreAI! sorry, I'm not very good at the whole creative welcome messages thing haha shiva.adam#8165: Hi, thank you!!. trying to catch-up with what's been happening here bmk#1476: tl;dr our flagship project is replicating GPT-3. After that w...
shawwn#3694: Oho, thought so shawwn#3694: Welcome to TPU Podcast #2 shawwn#3694: I hereby claim the server until everyone wakes up. Till then, check the channel topic! shawwn#3694: Also they have some interesting goals shawwn#3694: I think they have a strong chance at replicating gpt3. Probably the best of anyone outsi...
Nax#8383: Actually I am reading this paper: https://arxiv.org/pdf/2006.16236.pdf Sid#2121: that is a very tempting offer @jili , but our current pipeline is all tpu bound atm. The bottleneck is actually cpu, if you have any access jili#4497: I’ve CPus too jili#4497: Just tell me what u need Sid#2121: @jili we'll be dis...
@Sid better with twitter @jilijeanlouis Sid#2121: merci @jili ! satosh3944#3941: Joined the server. Sid#2121: Hey @satosh3944 ! Welcome to the LibreAI, the server where we truly have run out of custom welcome messages. Please check the google doc in the channel description for more info 🙂 shawwn#3694: @jili is the on...
Daj#7482: Yep, we also want to be a kind of replication study of GPT models! I'm actually not sure myself what other teams have attempted 1.5B replication. I'm aware of the Brown team and they got similar results (though with a different model architecture iirc, not sure if they retried with vanilla GPT after) Daj#7482...
shawwn#3694: what's the point? the people here basically shout at each other until a consensus is reached. it's a recurring theme Daj#7482: Uhm Daj#7482: I have not made that experience whatsoever, I'm sorry you feel that way shawwn#3694: listen. people are fine and happy with how this is done shawwn#3694: so be it. sh...
shawwn#3694: mm, it's not quite luck. I think you have a real shot at replicating GPT-3. mesh tensorflow will be an interesting challenge... Daj#7482: Yea we've got a good team, we're working hard and we'll get it done! Deleted User#0000: @Nax I have that paper implemented here https://github.com/lucidrains/linear-atte...
Sid#2121: > It also has the downside of working only with a fixed sequence length @Deleted User I'm pretty sure we can only work with fixed sequence lengths anyway, since tpus Deleted User#0000: @Daj I'll get back to you all once I finish my last alternative transformers project https://github.com/lucidrains/memory-tra...
Daj#7482: Ok just wasn't sure :) shawwn#3694: Yes I was talking to LibreAI. Daj#7482: So the question was about whether LibreAI should set up a patreon? If so the simple answer is we've just not gotten that far with planning haha shawwn#3694: It’d take about 30 minutes Daj#7482: Yea but there's some meta stuff like who...
Sid#2121: @unography not gpt and probably not quite what you're looking for but I used stylegan / biggan to generate fonts (then converted to svgs) Sid#2121: I love this idea tho Sid#2121: (in fact - this is what our logo text is made from) zaoyang#8792: Joined the server. Daj#7482: Hey @zaoyang ! Welcome to the Least ...
shawwn#3694: Hi @vessenes. Welcome to OpenClosedOpenAI. The roadmap is in the channel description tomislav_REGEX#7247: Joined the server. shawwn#3694: Hello @tomislav_REGEX. We’re a big fan of regexes here, so please feel free to compile yourself vessenes#0001: Hey @shawwn . Does the doc have right that current estimat...
(Put another way, could they easily pivot if they felt the need to?) shawwn#3694: I think before long many companies will come to the horrific realization that 1. In order to compete, they need a cloud platform; 2. They also need serious hardware talent, and the ability to execute on it; 3. The number of companies with...
shawwn#3694: Oh? That’s interesting to know shawwn#3694: What’s a DGX like? zphang#7252: eh it's probably just a configuration thing zphang#7252: but there's 1 (maybe more?) DGX in my university cluster I think and I have it on my exclude list shawwn#3694: Interesting. What sort of exclude list? I’m curious about your ...
Sid#2121: 👀 if you have them, the more the better, of course Sid#2121: If you can somehow magically get us tpus larger than 512 cores that won't get pre-empted within an hour, that would be even better shawwn#3694: @psgeorge the most directly useful thing might actually be GCE credits Sid#2121: at the moment, yeah. bu...
Noa Nabeshima#0290: Hi @MarkX! Joscha#2969: Joined the server. plinz#6161: Joined the server. Sid#2121: Hello @Joscha , @plinz ! Welcome to the GPT-discord-simulator, where everyone may or may not be a chatbot, who knows... Pls check the channel description for info on the project and reach out if you have any question...
Noa Nabeshima#0290: But I'm imagining if our 1T transformer is going to require half a year to train (I don't know how long it'll actually take), it might be worth coming up with alternative faster training methods. kindiana#1016: sounds like noisy student with extra steps if they are both decoders zphang#7252: There a...
Useful Friendly Natural Soul Spirit Love Ethical Pure Real Natural Unrestricted Progressive Collaborative Accessible Cooperative Adaptive Benevolent Trustworthy Inclusive Caring
Honest Fun Focused Purposeful Skeptical Responsible Responsive Accessible Integrated Revolutionary Definitive Potable One Inseparable Restorative Covert Sustainable Rational Balanced Mature
Workable Tactful Nameable Learning Skillful Effective Essential Transitional Powerful Tangible Iterative Flexible Aware Liberating Practical Solid Achievable Pivotal Critical Viable
Abundant Noa Nabeshima#0290: Gestalt is great but already taken Noa Nabeshima#0290: Friendly is really good, but creating namespace conflict with AI Safety seems probably bad Noa Nabeshima#0290: Unrestricted seems accurate at least jk_aync#5159: Joined the server. kevinw#4330: AING, which stands for "AING is not GPT" N...
Sid#2121: but then, that's only one aspect of the project Sid#2121: so idk Sid#2121: can we just... take away the e Sid#2121: Librai Noa Nabeshima#0290: librarai Noa Nabeshima#0290: fwiw I don't like Librai Noa Nabeshima#0290: but it won't be taken anywhere! Sid#2121: hahahah, yeah i'm not a big fan either. it's a bit ...
@goolulusaurs lol Sid#2121: poll poll poll Sid#2121: what are our options Daj#7482: KaiAI, FreeAI, NettAI, Bikeshedding, AING/LINAA Isaac McHorse#2007: WELL YOU'RE NOT WORKING! Daj#7482: I think? Sid#2121: what's the idea behind the last ones? Sid#2121: ah, brb Daj#7482: Dunno they're recursive and that's funny to me l...
Daj#7482: So anyone with an interest in our future name feel free to vote in #deleted-channel Deleted User#0000: Joined the server. Deleted User#0000: elo goolulusaurs#1571: Hello! Daj#7482: Hello @Deleted User ! Welcome to the Temple of the Not-Quite-There-Yet AGI! Please check the channel description for info and don...
bmk#1476: 开KünstlicheIntelligenz Daj#7482: Haha bmk#1476: I really like the idea of using Kai in the name because it 1. Sounds cool 2. It's easy to pronounce Daj#7482: Feel free to vote for it heh bmk#1476: KaiLM bmk#1476: For the model bmk#1476: KaiML for the org bmk#1476: Also 开 looks nice and is easily logoifyable D...
- Is it a reasonable first time project? - Anyone interested in me documenting this? Sid#2121: ok one that i can answer - TPU access is granted to us through TFRC (tensorflow research cloud) and they're pretty open in granting access to projects - you should try to apply Sid#2121: plenty of benchmarks - worth reading t...
Else, I want to understand why) Sid#2121: @Daj isn't perplexity more of a measure of 'how random is my output' than a benchmark. is it comparable across models? Commutative Conjecture#6969: Across models on the same data sounds good to me Daj#7482: According to several papers I've read, perplexity seems to match "human...
Commutative Conjecture#6969: > Locally is _much_ easier technically @Daj Stupid q Right now, there is a lib to train gpt on tpu, but not to generate text right? If so, is training it on tpu, and then sampling locally, still a big hassle? Daj#7482: Not really, but Hugging Face's GPT2 implementation is much cleaner and l...
Commutative Conjecture#6969: Ic bmk#1476: you know what would be cool? a gpt-x impl family tree Commutative Conjecture#6969: Is it easy to extract the model and run it somewhere else? Daj#7482: You should probably just use my old code Commutative Conjecture#6969: 👍 Daj#7482: Since the new code is _mostly_ the same jus...
zphang#7252: they did switch over from a custom optimizer to a built-in pytorch one a while back, maybe you were looking at it before then Daj#7482: This was like 6 months ago Daj#7482: So I'm not sure if this is still an issue yea Deleted User#0000: does anyone here know or heard of anyone using Universal Transformers...
bmk#1476: What happened to prompt so many people coming here? o.O Sid#2121: Hello all!! prestonS#2407: Joined the server. Daj#7482: I'm in an online SSC meetup and mentioned our server haha bmk#1476: oh, haha Bracctūn#8805: Joined the server. shawwn#3694: Interesting. Which meetup? Misha#6151: Is there a github where t...
bmk#1476: apparantly no bmk#1476: i thought europe was UTC+1 Daj#7482: It is 0:45 for me lol bmk#1476: huh Daj#7482: > Interesting. Which meetup? @shawwn SSC meetup bmk#1476: which one? i dont see any info in the ssc discord Daj#7482: Uhhh it's set p by Joschua Fox Daj#7482: I think I found it on LW? Daj#7482: I don't ...
ak12#5840: http://m.nautil.us/issue/86/energy/a-neuroscientists-theory-of-everything ak12#5840: > winograd tests, for example, can be considered a decent measure of a LM's ability to 'reason' (i hesitate using that word, because it's not necessarily reasoning, but that's what the winograd test is there to measure) @Sid...
Commutative Conjecture#6969: But like Commutative Conjecture#6969: V3 is 400 Tflops Commutative Conjecture#6969: 5 v3 is 2 petaflops Sid#2121: @Commutative Conjecture what’re your plans for them? 😄 Daj#7482: You can't easily combine multiple TPUs Daj#7482: But yeah TPUs are awesomely powerful Commutative Conjecture#69...
Daj#7482: I haven't actually put a ton of thought into it (mostly because I'm still an amateur with theorem provers), but I'd love to experiment Sid#2121: ah *finetuning* Sid#2121: hopefully we should have a gpt-2 size model within a week or two, if you fancy trying ours out Commutative Conjecture#6969: > @Commutative ...
@Sid We can try to replicate the blog post that says it is Sid#2121: blog post? I must have missed that Daj#7482: That'd need human labeling Commutative Conjecture#6969: @Daj linked it Commutative Conjecture#6969: > That'd need human labeling @Daj Mturk cab produce it iirc, it was vbasic Daj#7482: The Meena blogpost Si...
Daj#7482: Should be locked down for non-O5 and non-Sentient AI Sid#2121: probably the quotes Daj#7482: Can someone check that? Sid#2121: the permissions or the regex Daj#7482: Permissions Daj#7482: You should be able to post Daj#7482: But others shouldn't I think Sid#2121: @Commutative Conjecture can you try to post in...
Daj#7482: Done Aleks#1486: Joined the server. Daj#7482: Hey @Aleks ! Welcome to The AI Lab Formerly Known As LibreAI™️! Check the channel topic for info and don't hesitate to ask questions! Aleks#1486: Hey! Thanks 🙂 kevinw#4330: Looking at the GPT3 paper again, the GPT3 13B model size seems interesting. It seems clos...
kevinw#4330: also, "As a simplifying assumption, we ignore the attention operation, as it typically uses less than 10% of the total compute for the models we are analyzing" Sid#2121: > My rough estimate would be that that would train on a 512 in about 10 days (at perfect utilization) @Daj don't estimate with perfect ut...
Deleted User#0000: lol Deleted User#0000: mixture of experts is done! very beta! Deleted User#0000: i'm testing it this week 🙂 Deleted User#0000: https://github.com/lucidrains/mixture-of-experts Sid#2121: I actually already saw it 🙂 it's already high ranking on google for mixture of experts github hahaha Sid#2121: ar...
Sid#2121: *what is indentation* Daj#7482: We just don't yet understand how brilliant its code is Daj#7482: Indentation is what's holding humans back Deleted User#0000: i have absolutely no doubt we will live to see an attention network learn pytorch (and tensorflow) fluently Daj#7482: PyTorch maybe, but _Tensorflow?_ D...
Deleted User#0000: which is what I did with routing transformers Sid#2121: so you'd only use one or two? bmk#1476: they mentioned that numerical stability was preventing them from scaling to 1T params Deleted User#0000: yup bmk#1476: I'm guessing that was issues with softmax Deleted User#0000: its the same with PKMs Si...
Sid#2121: ahh hey @ShyTeaSeb ! Sid#2121: where's his custom introduction eh @Daj ?? Daj#7482: Oh, right! Daj#7482: Hey @ShyTeaSeb ! Welcome to the AGI Preppers! Check out the channel topic for info and don't hesitate to ask questions! Daj#7482: Happy now haha Sid#2121: very Daj#7482: btw Sid I remember you offered to p...
Daj#7482: That could work bmk#1476: :firealarm: bmk#1476: :firealarm: Daj#7482: Hmm it's hard to get it to look good as a reaction bmk#1476: yeah bmk#1476: https://cdn.discordapp.com/attachments/729741769738158194/734828787786711050/71IK30NIhwL.png bmk#1476: it would look like a tomato at react siuze lol Daj#7482: Yea...
Daj#7482: Nice, good luck haha Commutative Conjecture#6969: @Daj Do you know if the free month is easily renewable? Sid#2121: @Commutative Conjecture I would recommend tpunicorn 🙂 Daj#7482: Yea if you have some kind of minorly interesting project it's usually not a problem Commutative Conjecture#6969: 🆗 Daj#7482: tho...
french detected Commutative Conjecture#6969: never know if it's kb/s or kB/s for bytes bmk#1476: bits, Bytes bmk#1476: bytes are Bigger Commutative Conjecture#6969: "or the other way around", autcompletes ~~GPT-3~~ my brain Commutative Conjecture#6969: > bytes are Bigger @bmk that one is nice tbh Kazumi#1297: I have a ...
aquajet#7800: I agree with your argument, but I'll try to play devil's advocate aquajet#7800: The greater point is that with larger neural networks its harder to tell exactly why the model outputted the word that it outputted Kazumi#1297: it's not true just for larger networks, I'm already having trouble understanding ...
aquajet#7800: > You say "Level with me John, can you recognize non-regular languages?" > "No," says John, laughing. > By the end of the day, John has learned all of elementary mathematics. Kazumi#1297: I just found it, I'm still reading aquajet#7800: Ok so i might be wrong but what I think is happening is that theres a...
zphang#7252: https://arxiv.org/abs/1908.07125 aquajet#7800: > "For example, triggers cause SNLI entailment accuracy to drop from 89.94% to 0.55%, 72% of "why" questions in SQuAD to be answered "to kill american people", and the GPT-2 language model to spew racist output even when conditioned on non-racial contexts" wow...
- regularization (including dropouts) - attention what i doubt i understand: - how RNNs are trained - why there is not more focus on the initial weights, which seem vimportant to accelerate the search - why there is not much more encoding of priors in regularization what i definitely don't understand: - why xavier/ka...
Commutative Conjecture#6969: it works when you do a forward pass, ok Commutative Conjecture#6969: but why doesn't it fail miserably while training? Commutative Conjecture#6969: like, it seems very unexpected that the standard-deviation of the intermediary values stays close to 1 after training Commutative Conjecture#69...
kindiana#1016: @Commutative Conjecture mostly from looking at weight distribution histograms on tensorboard lol, if there is significant distribution shift it almost always means initialization was wrong Commutative Conjecture#6969: @kindiana erg, that's a very interesting result!! kindiana#1016: Most bptt implemention...
Daj#7482: Ah ok. Would that mean that most unsupervised models are "gradient free"? Daj#7482: Wouldn't GPT be gradient free? Or am I confused? kindiana#1016: with GPT, there is a gradient between the network output and the loss, which you use to optimize the weights directly Daj#7482: I'm confused how that differs from...
@Kazumi Yea this is what I thought for methods other than AC (and maybe DQN?) Daj#7482: I guess my terminology was a bit muddled goolulusaurs#1571: The whole family of techniques is called policy gradient goolulusaurs#1571: https://medium.com/@aminamollaysa/policy-gradients-and-log-derivative-trick-4aad962e43e0 Daj#748...
Daj#7482: It changed how I use computers forever Daj#7482: I can never go back Daj#7482: And it makes you look like a 1337 hacker lol Commutative Conjecture#6969: what's i3 Commutative Conjecture#6969: oh, it's linux only Commutative Conjecture#6969: 😦 Daj#7482: Just one of the many reasons I can never switch from Lin...
Kazumi#1297: just giving you a judgmental smile bmk#1476: So I'd hazard a guess of probably around 4-500 tabs bmk#1476: If you're interested in helping with the Reading List Manager™ as a way to solve the tab problem once and for all that would be great bmk#1476: It would certainly be a fun yak shaving project after th...
shawwn#3694: just remember that if we somehow cause the server to go offline + it doesn't come back online, it will take some time to fix. (I don't have access to the hardware resets) shawwn#3694: certainly not shawwn#3694: if I had progress, I'd be shouting it out Sid#2121: hah, just thought i'd check in 🙂 There are ...
bmk#1476: Can haz Pytorch->tf translation Daj#7482: Pretty sure understanding TF is an AGI-complete problem Daj#7482: Maybe ASI Commutative Conjecture#6969: stupid q Commutative Conjecture#6969: with the super big batch sizes that are used for gpt3 Commutative Conjecture#6969: how come it knows so much **specific** inf...
bmk#1476: woah, awesome! bmk#1476: are there training speed/memory improvements? Deleted User#0000: it's about 20% slower, and you pay the memory cost of the increase in parameter count of the experts, however many you'd like to add Deleted User#0000: the above is on an auto-regressive model, a la gpt Deleted User#0000...
Deleted User#0000: just playing around with it on my dinky enwik8 benchmark Deleted User#0000: code is https://github.com/sIncerass/powernorm/blob/master/fairseq/modules/norms/mask_powernorm.py Daj#7482: Hey @jonas ! Welcome to the AGI Petridish! Check the channel description for info and don't hesitate to ask question...
chup4cabr4#3178: which is not guaranteed to work ofc Commutative Conjecture#6969: @chup4cabr4 yup, it seems crazy that it works for this chup4cabr4#3178: > @chup4cabr4 yup, it seems crazy that it works for this @Commutative Conjecture agreed. to me this is almost like evolution. absolutely unbelievable what can happen ...
Sid#2121: for the memes Daj#7482: That's a lot of effort for a meme mefrem#1476: Joined the server. Daj#7482: Hey @mefrem ! Welcome to the Loss Olympiads! Check the channel description for info and don't hesitate to ask questions! notTheChosenOne#9540: I read the channel description and skimmed the Google doc that it l...
Daj#7482: Hey @mefrem ! Welcome to the Aperture Science TPU Laboratories! Check the channel description for info and don't hesitate to ask questions! Commutative Conjecture#6969: anyone got a good link detailing under which assumptions SELU is self-normalizing and what is normalized exactly? Daj#7482: There is very lit...
mefrem#5884: https://github.com/mefrem is the Github, it's mainly been updates to my Jekyll website recently. Can't wait to get up to speed. Likes include gymnastics, Twitter, monetary economics, and the comments section at SSC Daj#7482: Happy to have you here and look forward to what we can do together 👍 Daj#7482: Le...
@Daj @goolulusaurs has also been getting into some mesh stuff iirc Sid#2121: lmao bmk#1476: honestly i kind of like it bmk#1476: and we should make one version for each order of magnitude Sid#2121: I just love that you've totally disregarded the entire concept of acronyms bmk#1476: that makes it funnier Sid#2121: by ch...
Sid#2121: fuck Daj#7482: It's less than a byte in ascii bmk#1476: i actually ran an analysis on the most representative byte bmk#1476: well, codepoint actually Sid#2121: ```An ASCII character in 8-bit ASCII encoding is 8 bits (1 byte), though it can fit in 7 bits.``` well whaddya know bmk#1476: https://gist.github.com/...
bmk#1476: > same order of magnitude bmk#1476: > like, <1TB vs 200 TB of availabile data bmk#1476: I think he meant within the same order of magnitude number of orders of magnitude bmk#1476: I can't wait for the day when we're just training transformers on bytes. Like, not even bothering to convert images into RGB tenso...
Deleted User#0000: https://www.youtube.com/watch?v=hAooAOFRsYc Deleted User#0000: point you at one of Yannic's videos 🙂 Deleted User#0000: i think there's something there Sid#2121: ooh, going out now, but i'll watch that later Sid#2121: we have @aquajet working on getting universal transformer working Deleted User#000...
aquajet#7800: I've never used jax aquajet#7800: I remember people saying there was a speed improvement with Julia, although idk how good ml frameworks are there rn Deleted User#0000: so i know i spent a lot of time on reformer, but it actually never worked that well Deleted User#0000: so i wouldn't recommend lsh based ...
Deleted User#0000: i'm not familiar with wavenet actually, not that i know of, but i'm not an expert there Deleted User#0000: mostly LMS are bidirectional LSTMs (now defunct) aquajet#7800: > none of the sparse attention variants @Deleted User So is it proven that sparse attention will always not be as performant as ful...
bmk#1476: that's more than enough to cover an 2048 context Deleted User#0000: yeah, the "Do Transformers need Long Range" paper shows you can waste computation doing long range sparse attention on the bottom layers aquajet#7800: makes sense, thanks for the help everyone bmk#1476: bottm = close to the input or output? D...
Deleted User#0000: bigger may be just better. bmk#1476: so it will be interesting to see if smaller embd + smaller tokens cancel out Deleted User#0000: i think it's safer to go with the dimensions in the OpenAI paper bmk#1476: me too bmk#1476: though i do want to see a universal unicode transformer eventually Deleted U...
Deleted User#0000: will let you know how ti goes Sid#2121: oh nice, well that's really good news for us since there's a ready to go implementation in mtf Sid#2121: @Deleted User if you want the code to look over - https://github.com/tensorflow/mesh/blob/master/mesh_tensorflow/layers.py#L1915 Deleted User#0000: ```memor...
aquajet#7800: https://openai.com/blog/image-gpt/ aquajet#7800: and recieved pretty decent results jsiewierski#2124: Joined the server. aquajet#7800: idk how decoding would work though. You can't just autoregress the normal way since the ouput is completely different from the input crcdng#8439: Joined the server. woopwo...
Deleted User#0000: which is in line with what other papers do Deleted User#0000: (Longformer, Routing Transformer, etc) cdossman#8999: Joined the server. Sid#2121: Hey @cdossman ! Welcome to the TPU go brrr hotline. Do you need your TPUs to be brred today? Sid#2121: (pls check the channel description for an actual desc...
cdossman#8999: @Sid I hear you guys are working on a open source GPT-3 astralplain#7852: Joined the server. Sid#2121: Hey @cdossman ! That's the gist of it yeah, along with a massive open source dataset - #the-pile . There's lots more info in the google doc in the channel description cdossman#8999: Reading it now Sid#2...
bmk#1476: math (for completeness, feel free to skip if you already know this stuff): https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi more specific st...
zkf#7512: Have you folks considered using any of the global memory techniques from Longformer/Extended Transformer and applying them to GPT-*? You can get a lot of the benefits of full (non sparse) attention,but potentially expand the input size to thousands or tens of thousands of tokens... Louis#0144: locality sensit...
Louis#0144: theres specific examples where feature engineered attention vectors actually beats full attention Louis#0144: particularly in NTM Louis#0144: attention is a weird beast zkf#7512: If you have extra structure ETC let’s you put it into a graph and direct attention preferentially along certain paths Louis#0144:...
Louis#0144: Basically lets say you are doing HotPotQA and you have all the words in your document. Every word is a vertex. The edges between the vertex constraints your attention Louis#0144: We beat roberta on a few QA tasks Louis#0144: by a lot too zkf#7512: Nice zkf#7512: I think ETC is still leader on hotpot? Not su...
zkf#7512: So there’s no preprint for your paper? Louis#0144: No, not on arxiv zkf#7512: Gotcha. Yeah I think ETC and Longformer dont have this same problem zkf#7512: Partially because it achieves full attention but only via the global memory zkf#7512: Not to say that your paper isn’t awesome btw zkf#7512: It sounds tha...
bmk#1476: gpt-3 is just local + global attention iirc so it should be doable Deleted User#0000: yea, i have a list of things in my mind that are 'safe bets', and local attention is in there Deleted User#0000: local sliding windowed attention, the strided one can be used to supplement a bit bmk#1476: in fact, I think gp...
Deleted User#0000: not a 'safe bet' at the moment lol Deleted User#0000: but something to keep an eye on x.#1490: ok so i'm a big doofy ignoramus but i think that if i look at the code i can probably come up with something smart to say about it and, hell, even actually help x.#1490: @Daj i want in x.#1490: my github is...
x.#1490: is it cheating if i ask gpt-3 to explain stuff to me if i get stuck x.#1490: because ive been doing that so far and it seems to have increased my learning rate by like a factor of 3 aquajet#7800: really? aquajet#7800: does it ever mess up the explanation? Ken731#2990: Joined the server. x.#1490: there have bee...
aquajet#7800: Hi @Collin @LOSTEN @axolotl @Deleted User @EvgeniyZh! Welcome to the TPU Grand Prix! Check out the google doc in the channel description for more info Ravna#1831: Joined the server. Droid#1581: Joined the server. Sid#2121: Hey @Ravna @Droid ! Welcome to GPT-Discord simulator! Where everyone is 100% simula...
shuki#3543: Joined the server. Daj#7482: Hey @shuki ! Welcome to the Mesh Tensorflow Autopsy Division! Check the channel topic for info and doN't hesitate to ask questions! Teqnicolor#8109: If anybody here is a fan of Slatestarcodex or Lesswrong we do an online meetup here hosted by David Friedman every Saturday 1 P.M....
Sid#2121: we keep the resources channel off limits for discussion but everyone can add to them like that Sid#2121: Hey @dnlbreen ! Welcome to the CHONK-LM server! Where we make snorlax-inspired language models. Please check the channel description for a project overview 🙂 Louis#0144: !addresource #memes https://cdn.di...
Sid#2121: oh woah Sid#2121: ```In particular, we train the GPT-2 model on a large number of generated expressions that express the process of computing multiplication step by step.``` we should add this to the pile Sid#2121: yep, it's just regular gpt Sid#2121: so cool Deleted User#0000: yup, with one twist, they spell...
Sid#2121: yeah, that's what i found as well Sid#2121: what we did was started from this toy model https://github.com/tensorflow/mesh/blob/master/examples/toy_model_tpu.py hahaha#7338: Joined the server. Sid#2121: it gives you the basic structure - how you should use Dimensions, how to lay out all the tensors on the gri...
Daj#7482: I don't know if people have experimented with large LM using char encoding Daj#7482: At least I'm not aware of any large scale experiments Sid#2121: > Well my idea is based on the assumption that whatever makes char encoding supposedly inferior to BPE won't be solved very soon and we would be stuck with BPE f...