Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
レシピについて / Funabashi.dev LT
Search
Hayato Nishimura
December 10, 2024
Research
220
1
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
レシピについて / Funabashi.dev LT
Funabashi.dev supported by KIKKAKE CREATION
で発表したLTです。
Hayato Nishimura
December 10, 2024
More Decks by Hayato Nishimura
See All by Hayato Nishimura
2026年共テ現代文を解く / Funabashi.dev 06
nhayato
0
890
カンファレンスでLTしました / kashiwarb5
nhayato
0
340
JavaでLチカしたい! / JJUG CCC 2024 Fall LT
nhayato
0
490
福岡Rubyist会議04 出張報告 / Kashiwa.rb #3
nhayato
0
310
STORES 決済 電子マネー編 / Welcome Fintech Community #2
nhayato
0
490
自己紹介 / Kashiwa.rb #1
nhayato
0
220
ビルドツールとはなにか?からはじめるGradle超入門 / JJUG CCC 2024 Spring
nhayato
0
1.6k
Other Decks in Research
See All in Research
ros2-perf-multihost: 分散システムにおける客観的なアーキテクチャ評価フレームワーク
takasehideki
0
200
[BlackHatAsia2026] Hidden Telemetry: Uncovering TraceLogging ETW Providers You're Not Using (Yet)
asuna_jp
1
650
SLAMはどこまで解決されたのか?
tomonom
0
1.1k
Language and AI
ayaniwa
0
200
[最先端NLP勉強会2026] Checklists Are Better Than Reward Models For Aligning Language Models
nzw0301
1
120
羽田新ルート運用6年の検証
1manken
0
190
VLMの推論を高速化する視覚トークン削減の仕組み
tattaka
1
130
PHTalks Bengaluru - SSRF When All Else Fails
dk999
0
1k
MIRU2026 チュートリアル講演2:三次元データ処理の動向
nnchiba
6
4.1k
MM-OVSeg: Multimodal Optical–SAR Fusion for Open-Vocabulary Segmentation in Remote Sensing
satai
3
110
260624_NLP-colloquium: Hubness
de9uch1
1
180
Claude Code × autoresearch 実践
mathbullet
0
230
Featured
See All Featured
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
508
140k
Reality Check: Gamification 10 Years Later
codingconduct
0
2.3k
Technical Leadership for Architectural Decision Making
baasie
3
490
The Cult of Friendly URLs
andyhume
79
7k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
201
75k
Marketing Yourself as an Engineer | Alaka | Gurzu
gurzu
0
280
What does AI have to do with Human Rights?
axbom
PRO
1
2.3k
Sam Torres - BigQuery for SEOs
techseoconnect
PRO
0
490
The SEO identity crisis: Don't let AI make you average
varn
0
530
Groundhog Day: Seeking Process in Gaming for Health
codingconduct
0
280
How to Create Impact in a Changing Tech Landscape [PerfNow 2023]
tammyeverts
56
3.4k
KATA
mclloyd
PRO
35
15k
Transcript
Ϩγϐʹ͍ͭͯ Funabashi.dev LT ϤϤΠʢid: nhayatoʣ 2024-09-14
ϤϤΠ ຊ໊: ଜ ॣਓʢʹ͠ΉΒ ͱʣ id:nhayato mstdn.jp/@nhayato nhayato nihayato
ಥવͰ͕͢ Θͨ͠ීஈ͔Β ൩͝ΜΛ࡞͍ͬͯ·͢
͓͢͢Ί: ͠ΒΏΓܲͷ νΩϯϑϥΠϓϨʔτ OisixͷϛʔϧΩοτʢऴചʣ ஈ͕ߴ͍͜ͱʹΛͭͿΕྑ͍ ௨ൢ͍͕ͬͯͨɺ εʔύͰׂҾ͍ͯ͠ΔϛʔϧΩοτ Λങͬͯௐཧ͍ͯͨ͠
OisixͷϛʔϧΩοτҰͭͷାʹೖΔܗͰചΒΕ͍ͯΔ https://kuratoku.lcx.mitsubishielectric.co.jp/column/detail_959/
OisixͷϛʔϧΩοτͷੌ͞ • ௐຯྉҎ֎ͷૉࡐͱϨγϐͷࢴ͕ϛʔϧΩοτͱͯ͠ചΒΕ͍ͯΔ • ओࡊͱ෭ࡊͷ2ͭͷྉཧ͕ɺ1ͭͷఔͰ࣮ࢪͰ͖Δ • > ·ͣ෭ࡊͷఔ1͔Β࢝Ίͯɺ෭ࡊఔ2͕ऴΘͬͨΒ ओࡊͷఔ1ʹҠΔ
• ෭ࡊͷఔ1→෭ࡊͷఔ2→ओࡊͷఔ1 ෭ࡊ ओࡊ
• ʮৗࣝʯ͋Δ͠ɺ ϨγϐΛਓखͰ࡞Δ͜ͱͰʮྀʯͰ͖͍ͯΔ͜ͱ͋Ζ͏ ෭ࡊ ओࡊ ઌʹੜࡊΛॲཧͯ͠ ࠷ޙʹΛॲཧ͢Δ
ੈͷதͷଟ͘ͷϨγϐ 1Ϩγϐ1ϖʔδ
Ͱ৯ʹɺ ෳͷ͓͔͕ͣ͋Δͱخ͍͠ ࣗಈԽ͍ͨ͠ʂ
ઌߦݚڀ • த෦ΒʰෳϨγϐͰฒߦௐཧ͢ΔࡍͷௐཧڥʹԠͨ͡࠷దௐཧख ॱ࡞๏ͱධՁʱʢ2020ʣ w ͦ͜ͰຊݚڀͰ ֤ϨγϐͷλεΫάϥϑΛ࡞͠ ෳϨγϐͷฒߦௐཧΛλεΫεέ δϡʔϦϯάͱͯ͠ଊ͑ͨ࠷దௐཧखॱͷ࡞๏ΛఏҊ͢ΔλεΫεέδϡʔϦϯά
ͷ࠷దԽΞϧΰϦζϜ%'*)4๏Λϕʔεͱ͠ લॲཧ෦ͱࢬמΓ෦ʹྉཧಛ༗ͷચ͍Λ ߟྀ֦ͨ͠ுΛߦ͏͜ͱͰ ޮΑ͘࠷దௐཧखॱΛ୳ࡧ͢ΔධՁ࣮ݧʹ͓͍ͯ ఏҊΞϧΰ ϦζϜΛ ࣮ࡍͷϨγϐ͔Β࡞ͨ͠ݙཱʹର࣮ͯ͠ߦͨ͠ͱ͜Ζ खಈͰ࡞ͨ͠ௐཧखॱ ͱൺֱ͠ ચؚ͍Ί߹ܭௐཧ࣌ؒΛॖͰ͖Δ࠷దௐཧखॱΛ୳ࡧͰ͖͍ͯΔ͜ͱ Λ֬ೝͨ͠
ઌߦݚڀ • த෦ΒʰෳϨγϐͰฒߦௐཧ͢ΔࡍͷௐཧڥʹԠͨ͡࠷దௐཧख ॱ࡞๏ͱධՁʱʢ2020ʣ w ͦ͜ͰຊݚڀͰ ֤ϨγϐͷλεΫάϥϑΛ࡞͠ ෳϨγϐͷฒߦௐཧΛλεΫεέ δϡʔϦϯάͱͯ͠ଊ͑ͨ࠷దௐཧखॱͷ࡞๏ΛఏҊ͢ΔλεΫεέδϡʔϦϯά
ͷ࠷దԽΞϧΰϦζϜ%'*)4๏Λϕʔεͱ͠ લॲཧ෦ͱࢬמΓ෦ʹྉཧಛ༗ͷચ͍Λ ߟྀ֦ͨ͠ுΛߦ͏͜ͱͰ ޮΑ͘࠷దௐཧखॱΛ୳ࡧ͢ΔධՁ࣮ݧʹ͓͍ͯ ఏҊΞϧΰ ϦζϜΛ ࣮ࡍͷϨγϐ͔Β࡞ͨ͠ݙཱʹର࣮ͯ͠ߦͨ͠ͱ͜Ζ खಈͰ࡞ͨ͠ௐཧखॱ ͱൺֱ͠ ચؚ͍Ί߹ܭௐཧ࣌ؒΛॖͰ͖Δ࠷దௐཧखॱΛ୳ࡧͰ͖͍ͯΔ͜ͱ Λ֬ೝͨ͠
ઌߦݚڀΛோΊͯ • Ϟνϕʔγϣϯ͛͢ʔཧղͰ͖Δ • Ϩγϐ͔ΒλεΫΛׂ͢ΔՕॴਓखͰ࣮ࢪ • WebαΠτʹ͋Δ2ͭҎ্ͷϨγϐΛࠞͥͯ Ұ࿈ͷखॱʹ͢Δ͜ͱ·ͩ·ͩͦ͠͏ https://jglobal.jst.go.jp/detail?JGLOBAL_ID=202102277301214967
2ͭͷखॱΛࠞͥͯɺ1ͭʹ͍ͯ͠Δ
ͱ͍͏͔ɺྉཧʹݶͬͨͰͳ͍
ιϑτΣΞ։ൃͷࣄͷஈऔΓ • Θͨ͠ͷ߹ʢ੍ͷྫʣ • ਓʹ࿈བྷ͢ΔλεΫɺ·ͱΊͯΓ͍ͨ • ίʔυϨϏϡʔேͷૣ͍͏ͪʹΓ͍ͨ • ίʔυΛॻ͘ࣄࡉΕͩͱͭΒ͍͔Βɺ·ͱΊͯΓ͍ͨ •
1ͷ͏ͪʹίϯςΩετεΠονগͳ͍΄͏͕͍͍ • ٳܜదʹೖΕ͍ͨ
࣮ࢪͨ͠ࣄΛ·ͱΊΔΈ݁ߏ͋Δ • ࣮ੈքΠϯλʔωοτͰ؍ଌͨ͜͠ͱ͋Δͭ • ෳͷGitϦϙδτϦ͔ΒࠓͷίϛοτΛཁͯ͘͠ΕΔ܅ • Pull RequestͷίϝϯτΛࣗಈͰ࡞ͬͯ͘ΕΔ܅ • ձٞͷձ༰Λ·ͱΊͯ͘ΕΔ܅
• etc.
2ͭͷ༷ॻ͔ΒɺλεΫʹղɾॱং͚ ༷ॻ" ༷ॻ# λεΫ λεΫ λεΫ λεΫJ λεΫJJ • ແཧΓϨγϐΛιϑτΣΞ։ൃͷʹஔ͖͑Δͱ
• εέδϡʔϦϯάͱ͍͏ΑΓɺࣗવݴޠॲཧͷʹݟ͑Δ
ͤΊͯλεΫʹղɾॱং͚ λεΫ λεΫ λεΫ λεΫJ λεΫJJ λεΫ λεΫ λεΫ λεΫJ
λεΫJJ • ͨͱ͑ɺேձͱ͔Ͱͨ͠ΒɺΔ͜ͱ͕ܾ·͍ͬͯΔͱ͔ཧ • εέδϡʔϦϯάʹ͍͚ۙͲɺ ݸਓλεΫϨϕϧ·Ͱߟྀ͍ͯ͠Δࣄྫ͋ΔͷͩΖ͏͔ʢະௐࠪʣ
·ͱΊʹ͔͑ͯ • ͨ͜͠ͱ • ෳͷϨγϐΛ1ͭͷखॱͱͯ͠·ͱΊΔ͜ͱͷؾ࣋ͪΑ͞ • ࣮ੈքͰ͑ΔϨϕϧͷखॱࣗಈԽ·ͩ·ͩͦ͠͏ • CS͕׆͔ͤͦ͏ͳͱ͜Ζ͕͋Δͱࢥͬͯੜ͖͍ͯΔ •
ػցͷݴ͏͜ͱΛฉ͚ͩ͘ͷΒ͠Λ͍ͨ͠ͷ͔ʢ΄Μ·ʹʁʣ