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@caradecristian.oficial: Quien sabe que es esto #parati #army #humor #peru

caradecristian🦤👃🏼
caradecristian🦤👃🏼
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Region: KR
Wednesday 30 September 2026 00:48:09 GMT
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Comments

minsun_1322
minsun_1322 :
el cumpliendo mi sueño
2026-09-30 01:21:45
82
sfmayu23
🦋Mayu verá a BTS🇵🇪💜✨ :
cumpliendo el sueño de toda army🥺💜
2026-09-30 04:10:21
7
aditajunes
Adamar🌻 :
Tú si sabes 🥰✨
2026-09-30 00:56:18
7
angel_xzzz
ANGEL :
Primero papus
2026-09-30 00:51:26
1
nice21ap
NIC3 :
primera
2026-09-30 00:49:46
2
user831433228202
Emanuel :
El señor Gold es lo máximo. 😎👍✨
2026-10-03 05:54:41
1
darwinbryanmoreno
«★꧁☬༒DARWIN⋆MORENO☬꧂★» :
Wao un loro
2026-09-30 01:59:44
1
httmayra_
gabi :
ese debería ser yo
2026-09-30 02:28:40
1
mosha_cherry
Mosha :
estás en corea. 💜 y en Perú llego BTS a lima
2026-10-06 14:22:52
0
carlaygianella02
user08517614851 :
vamos ha debutar 🇵🇪
2026-10-02 23:08:19
0
lulu_142025
LⓊ 💛❤️ :
son cosas mías o ya agarró cuerpo 😱
2026-10-01 04:44:11
0
inti1060
inti :
Hola Tapir…
2026-10-01 04:11:05
0
danay_2015
DANAY🕸️💜♑ :
Como me lo sacas en cara noo no vale.
2026-09-30 17:59:31
1
katt.1710
Alexa 💛💜 :
porque 😞
2026-09-30 19:58:28
1
bereniz.zs
Maydis verá a BTS 💜 :
se hizo toda la ruta de BTS+! que envidiaaaa
2026-10-01 03:55:57
0
ara.oo
𝒜𝓇𝒶 :
2026-09-30 20:04:09
0
nice21ap
NIC3 :
2026-09-30 00:49:55
0
sal1232404
Saúl@123 :
😎😎😎🤟🤟🤟
2026-10-03 00:40:43
0
nefhertiry
Nefher :
ya bastaaaaaa
2026-09-30 19:41:15
0
its.laish
its.laish :
Es IA
2026-09-30 16:45:33
0
dalhia_06
𝓓𝓪𝓱𝓵𝓲𝓪🪷 :
2026-09-30 14:58:04
0
juanaangelicagama
juanaangelicagama :
wooooow que lindo bendiciones 💜
2026-09-30 14:40:03
0
ziele_kira
Azul 🍒 :
💜
2026-09-30 12:40:09
0
briyitt2112
✨✰Briyitt ✰✨ :
No saca cachita 😂😂💜
2026-10-01 18:08:46
0
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Other Videos

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🎓 Claude Certified Architect sample question: When should you refine the prompt—and when should you scale? You need to process 50,000 legacy documents using the Batch API. A test on 500 representative documents shows that 18% need 2–3 prompt refinements. What is the most cost-efficient strategy? ✅ Refine first. Batch once. Why? An 18% failure rate across 50,000 documents means: 🔴 9,000 failed documents 🔁 2–3 additional attempts each 💸 18,000–27,000 unnecessary document runs That means you are using production-scale processing to discover problems that could have been fixed on a small sample. The better workflow: 🧪 Test 500 representative documents 🔍 Analyze the 90 failures ✍️ Refine the prompt interactively 📊 Re-test until first-pass success is reliable 🔒 Freeze the prompt and validation rules ⚡ Process all 50,000 documents through the Batch API 💰 Keep the cost and throughput advantages of batching The architecture principle: Don’t experiment at production scale. Use a small, representative dataset to uncover edge cases. Stabilize the prompt, output format, and validation logic—then scale the workload. 🎯 Tune small. Validate hard. Run large. Save this for your Claude certification, AI architecture, and system design preparation. #ClaudeAI #ClaudeCertification #AIArchitecture #BatchAPI #PromptEngineering
🎓 Claude Certified Architect sample question: When should you refine the prompt—and when should you scale? You need to process 50,000 legacy documents using the Batch API. A test on 500 representative documents shows that 18% need 2–3 prompt refinements. What is the most cost-efficient strategy? ✅ Refine first. Batch once. Why? An 18% failure rate across 50,000 documents means: 🔴 9,000 failed documents 🔁 2–3 additional attempts each 💸 18,000–27,000 unnecessary document runs That means you are using production-scale processing to discover problems that could have been fixed on a small sample. The better workflow: 🧪 Test 500 representative documents 🔍 Analyze the 90 failures ✍️ Refine the prompt interactively 📊 Re-test until first-pass success is reliable 🔒 Freeze the prompt and validation rules ⚡ Process all 50,000 documents through the Batch API 💰 Keep the cost and throughput advantages of batching The architecture principle: Don’t experiment at production scale. Use a small, representative dataset to uncover edge cases. Stabilize the prompt, output format, and validation logic—then scale the workload. 🎯 Tune small. Validate hard. Run large. Save this for your Claude certification, AI architecture, and system design preparation. #ClaudeAI #ClaudeCertification #AIArchitecture #BatchAPI #PromptEngineering


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