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1. Shard Calculation

Query:
Response:
Calculated Shard: 16 (from laksa017)

2. Crawled Status Check

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Response:

3. Robots.txt Check

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4. Spam/Ban Check

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5. Seen Status Check

ℹ️ Skipped - page is already crawled

📍
LOCATION
Host 16 · Partition 97
laksa016
336105317631279416
📄
INDEXABLE
CRAWLED
1 month ago
🤖
ROBOTS ALLOWED

Page Info Filters

FilterStatusConditionDetails
HTTP statusPASSdownload_http_code = 200HTTP 200
Age cutoffPASSdownload_stamp > now() - 6 MONTH1.9 months ago
History dropPASSisNull(history_drop_reason)No drop reason
Spam/banPASSfh_dont_index != 1 AND ml_spam_score = 0ml_spam_score=0
CanonicalPASSmeta_canonical IS NULL OR = '' OR = src_unparsedNot set

Page Details

PropertyValue
URLhttps://www.53ai.com/news/finetuning/2025072471386.html
Last Crawled2026-04-07 16:37:48 (1 month ago)
First Indexed2025-07-24 01:27:54 (10 months ago)
HTTP Status Code200
Content
Meta Title150%训练效率提升:感知检测小模型训练优化方法 - 53AI-AI知识库|企业AI知识库|大模型知识库|AIHub
Meta Description深入探讨 150%训练效率提升的感知检测小模型训练优化方法,聚焦 RAG 技术。文中基于业务实践,总结不同算力卡上的训练之道,为智能驾驶场景提供借鉴。涵盖 maptr、sparsedrive、qcnet、GaussianFormer 等适用于智能驾驶的小模型,详解从选择 dsw 镜像到执行训练命令的全流程。还介绍模型微调方法与技术,助力提升模型性能。点击阅读,了解详情,开启智能驾驶模型训练新征程。
Meta Canonicalnull
Boilerpipe Text
heavy column, fetched on demand
Markdown
heavy column, fetched on demand
Readable Markdown
heavy column, fetched on demand
ML Classification
ML Categoriesnull
ML Page Typesnull
ML Intent Typesnull
Content Metadata
Languagenull
Authornull
Publish Timenot set
Original Publish Time2025-07-24 01:27:54 (10 months ago)
RepublishedNo
Word Count (Total)975
Word Count (Content)595
Links
External Links10
Internal Links118
Technical SEO
Meta NofollowNo
Meta NoarchiveNo
JS RenderedNo
Redirect Targetnull
Performance
Download Time (ms)1,699
TTFB (ms)1,696
Download Size (bytes)36,483
Location
Host ID16 (laksa016)
Partition ID97
Root Hash336105317631279416
Unparsed URLcom,53ai!www,/news/finetuning/2025072471386.html s443