Methods › Natural Language Processing › Transformers › GPT-Neo

GPT-Neo

38 papers tagged archive 2025-07-28

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

An implementation of model & data parallel GPT3-like models using the mesh-tensorflow library.

Source: EleutherAI/GPT-Neo

Papers archive 2025-07-28

30 shown of 38, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 42 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Language Modelling10
Text Generation9
Language Modeling8
Code Generation5
Memorization3
Prompt Engineering3
Large Language Model2
Question Answering2
Text Classification2
Transfer Learning2
text-classification2
Abstractive Text Summarization1
All1
BIG-bench Machine Learning1
Chatbot1
Contrastive Learning1
Coreference Resolution1
Decoder1
Diagnostic1
Fairness1

Usage over time archive 2025-07-28

Papers per year tagged with GPT-Neo: 2021 to 2025, peak 13 13 0 2021: 4 papers 2021 2022: 11 papers 2022 2023: 13 papers 2023 2024: 8 papers 2024 2025: 2 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (38 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Transformers

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