The Pile VS GPT-NeoX-20B

Let’s have a side-by-side comparison of The Pile vs GPT-NeoX-20B to find out which one is better. This software comparison between The Pile and GPT-NeoX-20B is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether The Pile or GPT-NeoX-20B fits your business.

The Pile

The Pile
Discover the power of The Pile, an 825 GiB open-source language dataset by EleutherAI. Train models with broader generalization abilities.

GPT-NeoX-20B

GPT-NeoX-20B
GPT-NeoX-20B is a 20 billion parameter autoregressive language model trained on the Pile using the GPT-NeoX library.

The Pile

Launched 2020-07
Pricing Model Free
Starting Price
Tech used Google Analytics,Google Tag Manager,Fastly,GitHub Pages,Varnish
Tag Data Analysis,Data Science,Data Provider

GPT-NeoX-20B

Launched
Pricing Model Free
Starting Price
Tech used
Tag Text Analysis,Summarize Text

The Pile Rank/Visit

Global Rank 0
Country India
Month Visit 4338

Top 5 Countries

16.11%
15.16%
12.4%
11.04%
8.58%
India Germany France United States Turkey

Traffic Sources

3.65%
0.95%
0.15%
20.46%
38.66%
35.68%
social paidReferrals mail referrals search direct

GPT-NeoX-20B Rank/Visit

Global Rank
Country
Month Visit

Top 5 Countries

Traffic Sources

Estimated traffic data from Similarweb

What are some alternatives?

When comparing The Pile and GPT-NeoX-20B, you can also consider the following products

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Easy Dataset - Easy Dataset: Effortlessly create AI training data from your documents. Fine-tune LLMs with custom Q&A datasets. User-friendly & supports OpenAI format.

StableLM - Discover StableLM, an open-source language model by Stability AI. Generate high-performing text and code on personal devices with small and efficient models. Transparent, accessible, and supportive AI technology for developers and researchers.

OpenELM - A Trailblazing Language Model Family for Advanced AI Applications. Explore efficient, open-source models with layer-wise scaling for enhanced accuracy.

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