Comparing NGINX Performance in Bare Metal and Virtual Environments - NGINX
Analytics cookies are off for visitors from the UK or EEA unless they click Accept or submit a form on nginx.com. They’re on by default for everybody else. Follow the instructions here to deactivate analytics cookies. This deactivation will work even if you later click Accept or submit a form. Check this box so we and our advertising and social media partners can use cookies on nginx.com to better
Home
To train our model, we used Huggingface's Transformers library and specifically their Flax API to fine-tune our model on various code datasets including one of our own, which we scraped from GitHub. Please visit our datasets page for more information regarding them. We used the hyperparameters discussed in the GPT-3 small configuration from EleutherAI's GPT-Neo model. Modifying the batch size and
How M1 Macs feel faster than Intel models: it’s about QoS
Last week I showed fascinating screenshots of how M1 Macs can run background processes exclusively on their four ‘efficiency’ cores. I’ve now been digging deeper, and this article is a summary of how Intel and M1 Macs deal with multiple tasks, priorities and resources under macOS, and how that influences our assessment of their speed. Operations and QoS Whether Intel or ARM cores, macOS has to man
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
