
EPOCH . AI {
}
Detected CMS Systems:
- MyBB (1 occurrences)
Title:
Data on Large-Scale AI Models | Epoch AI
Description:
Scale is a key factor in the performance of AI. Explore public data and graphs on over 400 large-scale machine learning models at the leading edge.
Website Age:
7 years and 6 months (reg. 2017-12-16).
Matching Content Categories {π}
- Education
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Content Management System {π}
What CMS is epoch.ai built with?
Epoch.ai utilizes MYBB.
Traffic Estimate {π}
What is the average monthly size of epoch.ai audience?
π Good Traffic: 50k - 100k visitors per month
Based on our best estimate, this website will receive around 50,019 visitors per month in the current month.
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How Does Epoch.ai Make Money? {πΈ}
We can't figure out the monetization strategy.
Earning money isn't the goal of every website; some are designed to offer support or promote social causes. People have different reasons for creating websites. This might be one such reason. Epoch.ai could be getting rich in stealth mode, or the way it's monetizing isn't detectable.
Keywords {π}
models, compute, data, largescale, training, flop, dataset, gpt, trained, notable, model, scale, date, epoch, number, gemini, publication, developed, claude, details, learning, publications, contact, hardware, insights, methodology, language, learn, ultra, downloadable, estimate, records, machine, resources, operations, updated, july, work, graph, size, large, alphago, united, largest, requirements, report, information, found, commentary, projects,
Topics {βοΈ}
ai/data/large-scale-ai-modelsβ [online resource] ai/data/large-scale-ai-models} large-scale ai models large-scale ai models large-scale ai models} unconfirmed large-scale model vision-language models large-scale models compare video generation large-scale model releases identify large-scale models gemini ultra notable ai models eu ai act eu ai act large-scale model 418 large-scale models large-scale models ai directives faq graph axes start machine learning hardware dataset highlights models citation epoch ai downloadable ai models present key data ai investment increases complete overview axis training compute unconfirmed training compute english-language sources read weekly commentary alphago notable models documentation high training costs scale costs tens largest proprietary models country cumulative number date data deep learning era cookie policy biological sequence models find candidate models large-scale compute-intensive models training compute leaves training compute plays training compute continues 30 ai models ai models projects aligned
Questions {β}
- How Much Does It Cost to Train Frontier AI Models?
- How accurate is the data?
- How can I access this data?
- How do these large-scale models compare to regulatory compute thresholds?
- How do you estimate details like training compute?
- How is the data licensed?
- How up-to-date is the data?
- How was the large-scale models dataset created?
- What is a large-scale model?
- What is an unconfirmed large-scale model?
- What is the difference between the Large-Scale and Notable AI Models datasets?
- Who can I contact with questions or comments about the data?
- Why are the number of models in the dataset and the results in the explorer different?
- Why is this data important?
Schema {πΊοΈ}
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dateModified:2024-06-19T00:00:00+00:00
datePublished:2024-06-19T00:00:00+00:00
description:Scale is a key factor in the performance of AI. Explore public data and graphs on over 400 large-scale machine learning models at the leading edge.
headline:Data on Large-Scale AI Models
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Dataset:
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name:Large-Scale AI Models
description:The Large-Scale AI Models database documents over 200 models trained with more than 10Β²Β³ floating point operations, at the leading edge of scale and capabilities.
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keywords:
large-scale AI models
AI model scalability
machine learning scalability
training compute for large AI models
compute-intensive AI models
AI models with large parameters
high-performance machine learning
frontier large-scale AI models
deep learning model scalability
advanced AI model performance
SOTA large-scale AI models
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Social Networks {π}(2)
External Links {π}(8)
- https://arxiv.org/abs/2411.04872 income
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- What is the monthly revenue of https://epochai.substack.com/subscribe?
- How much does https://github.com/epoch-research pull in?
Analytics and Tracking {π}
- Google Analytics
- Google Analytics 4
- Google Tag Manager
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Libraries {π}
- Bootstrap
- Chart.js
- Clipboard.js
- Popper.js
- Video.js
- Vue.js
- WOW
Emails and Hosting {βοΈ}
Mail Servers:
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CDN Services {π¦}
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