English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

The crystallization of modeling methods around the Transformer architecturehas been a boon for practitioners. Simple, well-motivated architecturalvariations can transfer across tasks and scale, increasing the impact ofmodeling research. However, with the emergence of state-of-the-art 100B+parameters models, large language models are increasingly expensive toaccurately design and train. Notably, it can be difficult to evaluate howmodeling decisions may impact emergent capabilities, given that thesecapabilities arise mainly from sheer scale alone. In the process of buildingBLOOM--the Big Science Large Open-science Open-access Multilingual languagemodel--our goal is to identify an architecture and training setup that makesthe best use of our 1,000,000 A100-GPU-hours budget. Specifically, we performan ablation study at the billion-parameter scale comparing different modelingpractices and their impact on zero-shot generalization. In addition, we studythe impact of various popular pre-training corpora on zero-shot generalization.We also study the performance of a multilingual model and how it compares tothe English-only one. Finally, we consider the scaling behaviour ofTransformers to choose the target model size, shape, and training setup. Allour models and code are open-sourced at https://huggingface.co/bigscience .

What Language Model to Train if You Have One Million GPU Hours?