liqiang
b119135836
Build latest book artifacts / build (push) Canceled after 0s
dependency resolution / resolve (3.11) (push) Canceled after 0s
dependency resolution / resolve (3.13) (push) Canceled after 0s
deploy-pages / build (push) Canceled after 0s
deploy-pages / deploy (push) Canceled after 0s
i18n consistency check / check (push) Canceled after 0s
provider adoption tests / test (chapter2/context-compression) (push) Canceled after 0s
provider adoption tests / test (chapter2/prompt-injection) (push) Canceled after 0s
provider adoption tests / test (chapter2/system-hint) (push) Canceled after 0s
provider adoption tests / test (chapter3/log-sanitization) (push) Canceled after 0s
web-search-agent tests / test (push) Canceled after 0s
web-search-agent tests / agentbook (push) Canceled after 0s
32 lines
1.8 KiB
HTML
32 lines
1.8 KiB
HTML
<!DOCTYPE html>
|
|
<html>
|
|
<head><style>
|
|
html { background: #14102E; }
|
|
body { width: 720pt; height: 405pt; margin: 0; padding: 0; font-family: Arial, sans-serif; display: flex; background-image: url('../assets/cover-bg.png'); }
|
|
.left { width: 440pt; margin: 44pt 0 44pt 48pt; display: flex; flex-direction: column; }
|
|
.kicker { font-size: 10pt; color: #F59E0B; font-weight: bold; letter-spacing: 2pt; margin: 0 0 14pt 0; }
|
|
h1 { font-size: 40pt; color: #FFFFFF; margin: 0 0 14pt 0; line-height: 1.1; }
|
|
.sub { font-size: 14pt; color: #DDD6FE; margin: 0 0 26pt 0; line-height: 1.35; }
|
|
.rule { background: #F59E0B; height: 4pt; width: 72pt; margin: 0 0 26pt 0; }
|
|
.authors { font-size: 11pt; color: #EDE9FE; margin: 0 0 6pt 0; line-height: 1.4; }
|
|
.affil { font-size: 9.5pt; color: #B8AEE8; margin: 0; }
|
|
.card { width: 156pt; margin: 46pt 0 0 16pt; background: #FFFFFF; border-radius: 10pt; padding: 12pt; box-shadow: 4px 4px 18px rgba(0,0,0,0.4); height: 256pt; }
|
|
.card img { height: 200pt; display: block; margin: 0 auto; }
|
|
.cardcap { font-size: 8pt; color: #5B5876; text-align: center; margin: 8pt 0 0 0; }
|
|
</style></head>
|
|
<body>
|
|
<div class="left">
|
|
<p class="kicker">NEURIPS 2017 · ARXIV:1706.03762</p>
|
|
<h1>Attention Is<br>All You Need</h1>
|
|
<p class="sub">The Transformer: sequence transduction based entirely on attention — no recurrence, no convolution.</p>
|
|
<div class="rule"></div>
|
|
<p class="authors">Ashish Vaswani · Noam Shazeer · Niki Parmar · Jakob Uszkoreit<br>Llion Jones · Aidan N. Gomez · Łukasz Kaiser · Illia Polosukhin</p>
|
|
<p class="affil">Google Brain · Google Research · University of Toronto</p>
|
|
</div>
|
|
<div class="card">
|
|
<img src="../source_visuals/fig1-03.png">
|
|
<p class="cardcap">The Transformer — model architecture<br>Figure 1, paper p. 3</p>
|
|
</div>
|
|
</body>
|
|
</html>
|