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
62 lines
2.0 KiB
JSON
62 lines
2.0 KiB
JSON
{
|
|
"paper": {
|
|
"title": "Attention Is All You Need",
|
|
"authors": "Ashish Vaswani et al.",
|
|
"arxiv_id": "1706.03762",
|
|
"pdf_url": "https://arxiv.org/pdf/1706.03762",
|
|
"pdf_sha256": "bdfaa68d8984f0dc02beaca527b76f207d99b666d31d1da728ee0728182df697",
|
|
"observed_pdf_sha256": "bdfaa68d8984f0dc02beaca527b76f207d99b666d31d1da728ee0728182df697"
|
|
},
|
|
"paper_text": {
|
|
"path": "/Users/boj/book/ai-agent-book/chapter5/paper-to-ppt/validation/runs/exp5-4-real-pdf-20260730-v3/source/paper_text.md",
|
|
"sha256": "4da5f2a1da38bad8149832b5ada3c94f0619188db8fed5cdca8ff63405587eb8",
|
|
"characters": 39819
|
|
},
|
|
"visuals": [
|
|
{
|
|
"filename": "paper_figure_1_transformer.png",
|
|
"pdf_page": 3,
|
|
"source_label": "Figure 1",
|
|
"caption": "The Transformer model architecture.",
|
|
"rect": [
|
|
92,
|
|
28,
|
|
520,
|
|
535
|
|
],
|
|
"sha256": "48f09e2e2426e8ca76c1e438600438dca2f9e61360e92ae3edbb538a2cc611d2",
|
|
"bytes": 150087,
|
|
"public_copy_sha256": "48f09e2e2426e8ca76c1e438600438dca2f9e61360e92ae3edbb538a2cc611d2"
|
|
},
|
|
{
|
|
"filename": "paper_figure_3_long_distance.png",
|
|
"pdf_page": 13,
|
|
"source_label": "Figure 3",
|
|
"caption": "Encoder self-attention following long-distance dependencies.",
|
|
"rect": [
|
|
92,
|
|
55,
|
|
525,
|
|
455
|
|
],
|
|
"sha256": "ea456861962564d2ef5a158e4205cfea29b537f4a611df989db5d65471f23d78",
|
|
"bytes": 96204,
|
|
"public_copy_sha256": "ea456861962564d2ef5a158e4205cfea29b537f4a611df989db5d65471f23d78"
|
|
},
|
|
{
|
|
"filename": "paper_figure_4_anaphora.png",
|
|
"pdf_page": 14,
|
|
"source_label": "Figure 4",
|
|
"caption": "Attention heads involved in anaphora resolution.",
|
|
"rect": [
|
|
92,
|
|
135,
|
|
525,
|
|
665
|
|
],
|
|
"sha256": "b1f0c6b0e186acb50cae69c304a9a2a0e1f09fd15f1beb0bba03194528163d7e",
|
|
"bytes": 264855,
|
|
"public_copy_sha256": "b1f0c6b0e186acb50cae69c304a9a2a0e1f09fd15f1beb0bba03194528163d7e"
|
|
}
|
|
]
|
|
} |