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AWS will offer HF’s products to its customers and run its next LLM tool
- paranoidrobot 4y agoHF = Hugging Face[1] they're the folks that are providing things like Stable Diffusion 2.1 Demo[2] [1] https://huggingface.co https://huggingface.co [2] https://huggingface.co/spaces/stabilityai/stable-diffusion https://huggingface.co/spaces/stabilityai/stable-diffusion
- sitzkrieg 4y agothank you for this. maybe im nitpicky but wish titles would not use acronyms
- nstart 4y agoI think it’s to do with the title character limits. I tried it out without the acronym and it’s a character or two long
- lifthrasiir 4y agoIsn't AWS also an acronym? ;-)
- throwaway81523 4y agoYeah I had to check. For a minute I thought oh hum, Amazon will be selling Harbor Freight stuff online. But then went wait, that says AWS, not amazon.com. So I had to look.
- faizshah 4y agoI’m interested to see what strategy GCP will go with. Azure partnered with OpenAI and AWS partnered with HF. It seemed like from the Google blog post they are going to try to market their home grown AI tech through GCP but for many categories they have opted to partner or buy vendors to add more products to GCP.
- paxys 4y agoGoogle has enough homegrown AI tech that they don't really need partnerships or acquisitions. Despite OpenAI getting outsized media coverage, Google still has a miles-long lead in the general area. Most of the advancements that made today's generative models possible came out of Google Research and Google Brain. Their real problem at the moment is productization and marketing.
- _boffin_ 4y agoI keep wondering if we're in the midst of Xerox PARC 2.0, but instead of Xerox, it's Googl. Amazing products and ahead of its time, but can't / won't execute.
- runnerup 4y agoGiven Project Starline, this seems pretty accurate.
- _boffin_ 4y agothat... is just wild. stunning tech
- zarzavat 4y agoIt's also possible to be too early to market. I'd say Google has played it just right. They clearly have a better idea of the readiness of the tech than Microsoft, who hastily released Bing's LLM to muted ridicule. In terms of UI, ChatGPT is a glorified text box. The hard part is the basic research, which Google can grind away on in the background until the moment is right. The problem with current LLMs is that they are inaccurate and untrustworthy. If LLMs were search engines then ChatGPT is the Altavista or Ask Jeeves. Google wants to be the, well, Google - come in later with tech that actually works.
- synack 4y agoI was hoping this was about Harbor Freight
- kylehotchkiss 4y agoimagine how one of their s3 in a box for copying digitized data from tapes would be if harbor freight got their hands on it. $100 and it makes that sound that failing hard drives did in the 90s
- bkjelden 4y agoDon't forget to bring your 20% off coupon when buying ec2 instances.
- luma 4y agoI couldn’t decide between Harbor Freight and hydrofluoric acid.
- abledon 4y agoThey should create some next-gen VR goggles that use HF tech to create your wildest dreams. Call it "FaceHugger".
- fxtentacle 4y ago"run its next LLM tool" Huggingface was already using S3 storage before.
- est 4y agoI think it means GPU inference capabilities.
- fxtentacle 4y agoThey were also already renting their GPUs on EC2 before.
- GreedClarifies 4y agoGreat move by AWS. Given how they work I bet that there was a document presented to Andy within a couple days of the Microsoft announcement. Google’s complete failure continues.
- coder543 4y agoNon-paywalled link: https://huggingface.co/blog/aws-partnership https://huggingface.co/blog/aws-partnership
- AndrewKemendo 4y agoI'm not sure to congratulate or be scared for them but Clem, Julien, Thomas and team are the nicest and most helpful org in AI and should be given whatever they need to succeed!
- azinman2 4y agoWhy scared for them?
- pcthrowaway 4y agoProbably because Amazon
- nl 4y ago100% this.
- rsync 4y agoI now think that "Hugging Face" refers to "the face one has when hugging" which, of course, is very nice. But up until just now, today I thought it was an Alien(s) reference.
- paranoidrobot 4y agoHonestly that's what I thought too.
- some_furry 4y agoYeah unfortunately that was my impression when I saw the acronym expanded.
- RosanaAnaDana 4y agoi as well. i thought it was the principal behind the site. yiu can rip the face off of a model and retrain just the last bits.
- julien_c 4y agothat would make for a quite different branding. Might think about it:)
- RosanaAnaDana 4y agofor literally years I thought it was a tongue in cheek thing. The world to is now duller for the truth hath come and we found ourwelves wanting a grander fiction.
- wyldfire 4y agoIt's a reference to the emoji aka unicode character "HUGGING FACE" / U+1F917. I also assumed it was a reference to "facehuggers" when I heard about the site mentioned, until I visited and saw the emoji displayed prominently on their webpage.
- deleted 4y ago[deleted]
- chaostheory 4y agoI hope this means that Alexa and Siri will understand everyday speech better, since amazon tends to dog food their services and I would assume that Apple would want to keep up. As of right now, it is annoying asking anything beyond turning on / off lights, playing specific key words like news or music, or the weather. It’s like a command line but with voice. Google is much better with questions pre-chat GPT, but their home integration has been broken post Nest debacle.
- amelius 4y agoSome things I'd like to see solved in this space: - Versioning. Don't change the LLM model behind my application's back. Always provide access to older versions. - Freedom. Allow me to take my business elsewhere, and run the same model at a different cloud provider. - Determinism. When called with the same random seed, always provide the same output. - Citation/attribution. Provide a list of sources on which the model was trained. I want to know what to expect, and I don't want to be part of an illegal operation. - Benchmarking. Show me what the model can and cannot do, and allow me to compare with other services.
- beecafe 4y agoDeterminism is largely impossible due to arbitrary ordering of GPU threads and non-associativity of floating point operations
- thewataccount 4y agoIs this true for LLMs and not for at least Stable Diffusion? Stable Diffusion is largely deterministic, with the main issues mainly when switching between software or hardware versions of torch, GPU architectures, CUDA/CUDANN, etc. Or perhaps I'm wrong about Stable Diffusion too?
- mattnewton 4y agoI thought so too, but I run a stable diffusion service, and we see small differences between generations with the same seed and same hardware class on different machines with the same CUDA drivers running in parallel. It’s really close but there will be subtle differences, (that a downstream upscaler sometimes magnifies), and I haven’t had the time to debug/understand this.
- thewataccount 4y agoAh okay that makes sense. In my experience I've only noticed differences when the entire composition changes so I'm guessing it's near pixel level or something? I assume they're the most noticeable with the ancestral samplers like euler a and the DPM2 a (and variants)?
- Taurenking 4y ago[dead]
- bitL 4y agoWill HuggingFace get paid or is it alongside other AWS "partnerships" where the authors will get their product taken for free, forked and maintained by AWS?