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Gwern on scaling

WebMar 10, 2024 · Scaling up GANs for Text-to-Image Synthesis present our 1B-parameter GigaGAN, achieving lower FID than Stable Diffusion v1.5, DALL·E 2, and Parti-750M. ... @gwern. and. @sedielem "killed the novelty" is not quite right, but didn't give a strong enough impression that scaling gans was valuable. a bunch of (imo) promising research … Webgwern's profile on LessWrong — A community blog devoted to refining the art of rationality. ... Not the most dangerous area of scaling capabilities, but certainly a concerning one, and one that will be a challenge to humans …

Are we in an AI overhang? - LessWrong

WebOct 28, 2024 · Up to a certain limit; Kaplan covers this in the talk a bit with reference to the RNN scaling curves in Kaplan et al 2024 - RNNs scale similarly to Transformers, with a worse constant in terms of compute, but they make bad use of context. After a few hundred tokens, the history has vanished. WebMay 28, 2024 · Tech blogger Gwern Branwen has a lot of similar examples in his blog. Gwern calls this way of interacting with GPT-3 prompt programming. We can give GPT-3 a written input and it’ll know which task it has to perform. The prompt can include some explicit examples — a few-shot setting — to help the system. It’s striking that the system can ... overgrown shrubs solutions https://fullthrottlex.com

Gwern - Wikipedia

WebAug 5, 2024 · As Gwern Branwen wrote in his The Scaling Hypothesis: “GPT-3, announced by OpenAI in May 2024, is the largest neural network ever trained, by over an order of magnitude. Trained on Internet text data, it is the successor to GPT-2 ⁠, which had surprised everyone by its natural language understanding & generation ability. To the surprise of ... WebJul 16, 2024 · The Scaling Hypothesis (Gwern Branwen) (summarized by Rohin): This post centers around the scaling hypothesis: Once we find a scalable architecture which can be applied fairly uniformly, we can simply train ever larger networks and ever more sophisticated behavior will emerge naturally as the easiest way to optimize for all the … WebJul 27, 2024 · Scaling up 1000x and you're at $2/page, which is cheap compared to … overgrown shrubs before and after

"Scaling Laws for Autoregressive Generative Modeling

Category:February 2024 Gwern.net Newsletter - Gwern.net Newsletter

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Gwern on scaling

Get the griffon or Skyscale first? (Thanks for the opinions)

WebJul 28, 2024 · Character Recognition Baseline. We also provide a baseline for character recognition based on the dataset. If using a ResNet18 without SE, and use the ArcFace loss, we are able to achieve a testing accuracy of 37.3%. Nov 29, 2024 ·

Gwern on scaling

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WebRT @_sinity: It's really nice at converting text to poems. I had to cut @gwern's "The Scaling Hypothesis" a lot to fit it in 8K tokens tho :( If only I had 32K token access heh . WebMar 9, 2024 · You really think the primary motivation of Gwern Gwern.net Branwen for finding the fine details of ML scaling laws interesting (or for wanting to cite sources) is 'I really want to deceive people into thinking AI is scary'? ... You really think the primary motivation of Gwern Gwern.net Branwen for finding the fine details of ML scaling laws ...

Web‪independent‬ - ‪‪Cited by 289‬‬ - ‪deep learning‬ - ‪statistics‬ - ‪psychology‬ - ‪darknet markets‬ WebGwern comments on the likelihood of AGI timelines being significantly pushed back if China invades Taiwan and disrupts/destroys the chip production there. ... Honestly, this seems like a huge blow to the whole scaling paradigm. Even gwern appears to be ignoring the crux of the post you linked despite having multiple comments there. Those are ...

WebApr 24, 2024 · Machine Learning Scaling. Bibliography of ML scaling papers showing … WebJul 27, 2024 · The theory that I briefly touched on at the end of my video and that was in …

Webby gwern gwern.net "On GPT-3: Meta-Learning, Scaling, Implications, And Deep …

Webby gwern gwern.net "On GPT-3: Meta-Learning, Scaling, Implications, And Deep Theory", Gwern Branwen. comments sorted by Best Top New Controversial Q&A Add a Comment More posts you may like. r/mlscaling • "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks", Tan & Le 2024 ... overgrown sheep hoovesWebJul 26, 2024 · Epistemic Status: I only know as much as anyone else in my reference class (I build ML models, I can grok the GPT papers, and I don't work for OpenAI or a similar lab). But I think my thesis is original. Related: Gwern on GPT-3 For the last several years, I've gone around saying that I'm worried about transformative AI, an AI capable of making an … overgrown skinWebI don't get how one can still remain as optimistic about scaling as gwern. Even Chinchilla's scaling laws predict that the improvement rate in the performance over compute graph will decrease soon, and regardless, … ramcast in pomonaWebJun 3, 2024 · About. New Top Discussion. May 2024 Gwern.net Newsletter links on AI hardware, diffusion models, optogenetics, brain scanning. gwern. Jun 11, 2024. 10. 10. April 2024 newsletter with links on AI scaling, particular new East Asian record-breaking work & deep reinforcement learning. gwern. ramcatch incJun 14, 2024 · ramcat archeryWebMar 16, 2024 · Features. Large-scale character face image dataset. 1.45M face images of 39K characters (train dataset). Designed for zero-shot setting. Characters in the test dataset do not appear in the train dataset, allowing us to test model performance on novel characters. Human annotated test dataset. overgrown shrubs pruningWebAug 15, 2024 · The scaling hypothesis and the laziness of deep learning. The scaling hypothesis is that. we can simply train ever larger NNs and ever more sophisticated behavior will emerge naturally as the easiest way to optimize for all the tasks & data. Gwern cites a swathe of papers in support, interpreting them in such a way that the following … ramcat diamondback 100