Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
LLM Science Examにおけるデータ戦略まとめ
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
someya takashi
November 08, 2023
Programming
830
2
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
LLM Science Examにおけるデータ戦略まとめ
第4回 Data-Centric AI勉強会 -コンペLT大会- 発表資料
someya takashi
November 08, 2023
More Decks by someya takashi
See All by someya takashi
心電図画像から時系列信号を復元する:PhysioNetの取り組み紹介
takashisomeya
1
820
Other Decks in Programming
See All in Programming
なぜCTOを降りてFDEを選んだのか?〜なぜプロダクト企業がFDEで顧客の現場に踏み込むのか〜
gonta
1
170
Agents on Rails - Rails at Scale 2026
irinanazarova
0
350
Starting & Sustaining Code-Based E2E Testing for Non-Coding QA Teams( #jasstniigata )
teyamagu
PRO
1
940
Apple Intelligence を用いた個人情報誤送信防止、及びユーザーリクエスト体験の改善について
yukiny
0
320
Ghostty + Neovimで作る 透明でカッコ良い開発環境
j341nono
0
150
iOS 27でニュースアプリはどう変わる!? 〜日経電子版の新機能対応と、開発事例から〜
lynnswap
7
13k
Rでドレミ/Do-Re-Mi_with_R
florets1
0
130
WebRTC映像をAirPlayに対応させる挑戦.pdf
monolithic_adam
0
350
GitHubハンズオン講座 — 実務レベルのチーム開発のフローを身につけよう
junhat6
0
120
APNsからLive Activityを開始する話
yumnumm
0
150
contenteditable と日本語入力に向き合う
colorful12
0
180
コードで差別化できない時代の ソフトウェアエンジニアリング / Software Engineering in an Era Where Code Doesn’t Differentiate
kishida
2
130
Featured
See All Featured
Exploring the relationship between traditional SERPs and Gen AI search
raygrieselhuber
PRO
4
4.3k
Agile that works and the tools we love
rasmusluckow
331
22k
The Cost Of JavaScript in 2023
addyosmani
55
10k
Taking LLMs out of the black box: A practical guide to human-in-the-loop distillation
inesmontani
PRO
3
2.4k
The SEO identity crisis: Don't let AI make you average
varn
0
580
Optimising Largest Contentful Paint
csswizardry
37
4k
コードの90%をAIが書く世界で何が待っているのか / What awaits us in a world where 90% of the code is written by AI
rkaga
63
46k
Leading Effective Engineering Teams in the AI Era
addyosmani
9
2.7k
Done Done
chrislema
187
17k
How to optimise 3,500 product descriptions for ecommerce in one day using ChatGPT
katarinadahlin
PRO
3
3.9k
Prompt Engineering for Job Search
mfonobong
0
490
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
27k
Transcript
--.4DJFODF&YBNʹ͓͚Δσʔλઓུ·ͱΊ ୈճ%BUB$FOUSJD"*ษڧձίϯϖ-5େձ ݄ 5BLBTIJ4PNFZB
ࣗݾհ ໊લɿTPNFZB ܦྺɿϙευΫʢੑཧֶʣˠ"*ΤϯδχΞ ࣄɿը૾ೝࣝɺσʔληϯτϦοΫ"* ,BHHMFɿ$7 /-1 ԻͳͲษڧతͰࢀՃ ຊ͢ίϯϖ
--.4DJFODF&YBN֓ཁ ։࠵ظؒɿ ࢀՃνʔϜɿUFBNT ධՁࢦඪɿ.FBO"WFSBHF1SFDJTJPO! ੍ɿ(16ϝϞϦ(# ఏग़࣌ؒ࣌ؒ ओ࠵ɿ,BHHMF 2VFTUJPO 8IBUJTUIFEFDBZFOFSHZGPS
UIFGSFFOFVUSPOEFDBZ QSPDFTT ʢࣗ༝தੑࢠ่յաఔͷ่յΤωϧ Ϊʔʁʣ 0QUJPO " .F7 # .F7 $ .F7 % .F7 & .F7 "OTXFS& (15 ՊֶతͳτϐοΫͷจষ XJLJQFEJBจষΛQSPNQUʹ ࣭ɾબࢶɾղΛੜ ྫ ίϯϖͷλεΫ Պֶʹؔ࿈͢ΔଟબࢶΛղ͘ IUUQTXXXLBHHMFDPNDPNQFUJUJPOTLBHHMFMMNTDJFODFFYBN
Ξϓϩʔν ίϯϖॳظɿੜσʔλͰͷֶश ίϯϖத൫Ҏ߱ɿ3"(ʢ3FUSJFWBM"VHNFOUFE(FOFSBUJPOʣΞϓϩʔν (15 ੜσʔλ dL Ϟσϧ EFCFSUB --.ͳͲͷ༷ʑͳϞσϧΛࢼ͕͢ είΞ͕ఔͰ಄ଧͪʹͳΔ
ˣ ϞσϧֶशʹΑͬͯXJLJQFEJBશͯͷՊֶ ࣝΛ֫ಘ͢ΔͷෆՄೳʁ ֶश ྨࣅจষݕࡧ DPOUFYU 2VFTUJPO 0QUJPO *OQVUDPOUFYU 4ZTUFN"OTXFSUIFGPMMPXJOH NVMUJQMFDIPJDFRVFTUJPOCZʢলུʣ 2VFTUJPORVFTUJPO " PQUJPO" # PQUJPO# $ PQUJPO$ % PQUJPO% & PQUJPO& "OTXFS 1SPNQU5FNQMBUF Ϟσϧ ਪ " είΞdୡ wσʔλͷ࣭ wݕࡧਫ਼ ͕ॏཁ .PEFM$FOUSJD %BUB$FOUSJD ΫΤϦ σʔλιʔε
ίϯϖιϦϡʔγϣϯུ֓ ΤϯδχΞϦϯά σʔλ wXJLJQFEJBUFYUEVNQ wֶशɾධՁ༻σʔλੜ wσʔλΫϨϯδϯά wΫϥελϦϯά ݕࡧ wจষຒΊࠐΈ
TFOUFODFUSBOTGPSNFS UGJEG #. wۙ୳ࡧ Ϟσϧ w&ODPEFSNPEFM EFCFSUBWMBSHF w%FDPEFSNPEFM # # # ςΩετલॲཧ 0QFO"*"1* GBJTT FMBTUJDTFBSDI ϝϞϦཧ -MBNB .JTUSBM -P3"2-P3" େنϞσϧͷਪ ຊ͢෦
ݕࡧઓུ ެ։OPUFCPPLʢϕʔεϥΠϯʣɿXJLJQFEJBͷهࣄ୯ҐͰݕࡧˠީิهࣄΛηϯςϯε୯ҐͰׂͯ͠࠶ݕࡧ ສهࣄ TFOUFODF USBOTGPSNFS ϕΫτϧԽ ςετσʔλ 2VFTUJPO 0QUJPO ʴ
ϕΫτϧ%# ΫΤϦ 8IBUJTUIFEFDBZFOFSHZGPSUIFGSFFOFVUSPOEFDBZQSPDFTT .F7.F7 .F7.F7.F7 ީิهࣄ ʢ5PQ݅ʣ CMJOH fi SF ϥΠϒϥϦ ηϯςϯεׂ ۙ୳ࡧ TFOUFODF USBOTGPSNFS ϕΫτϧԽ ϕΫτϧԽ ۙ୳ࡧ ݕࡧ݁Ռͷηϯςϯε ʢ5PQ݅ʣ 'PSUIFGSFFOFVUSPO UIFEFDBZFOFSHZGPSUIJT QSPDFTT CBTFEPOUIFSFTUNBTTFTPGUIF OFVUSPO QSPUPOBOEFMFDUSPO JT.F7 ΫΤϦ ϕΫτϧ%#
ݕࡧͷ จষͷϕΫτϧԽख๏ w 4FOUFODF5SBOTGPSNFS .5&#-FBEFSCPSEʢ4FOUFODF5SBOTGPSNFSͷ-FBSEFSCPBEʣ͔Β༷ʑͳϞσϧΛࢼͯ͠είΞ্͕͕ΔͷΛબఆ ྫɿHUFTNBMMCBTF CHFTNBMMCBTF w
5'*%' 4FOUFODF5SBOTGPSNFS͚ͩͰͳ͘ɺ5'*%'#.ͳͲ/-1ͷैདྷख๏༗ޮͩͬͨ ʢઐ༻ޠͳͲಛఆͷهࣄͰ͔͠ΘΕͳ͍୯ޠ͕ଟ͍ʁʣ จষׂ w จͷ۠Γ ύϥάϥϑ୯ҐɺηϯςϯεʢҰจʣ୯Ґɺ·ͨͦͷதؒͷෳจΛ·ͱΊͨ୯ҐͳͲɺνʔϜΑ༷ͬͯʑ 3FSBOLFS w ީิจষͷத͔ΒΑΓؔ࿈͕ߴ͍จষ্͕ҐʹͳΔΑ͏ฒͼସ͑
3FUSJFWFS3FSBOLFSΞʔΩςΫνϟ IUUQTXXXQJOFDPOFJPMFBSOTFSJFTSBHSFSBOLFST ΑΓਤΛҾ༻ 3FUSJFWFSTFOUFODFUSBOTGPSNFS 3FUSJFWFSSFDBMMॏࢹ ˣ 3FSBOLFSQSFDJTJPOॏࢹ 3FSBOLFS#&35 %FCFSUB 5XP4UBHF3FUSJFWBM
OE SE UIͷνʔϜ͕༻ ݕࡧͷ
σʔλઓུ 8JLJQFEJBจষͷલॲཧ w ɺࣜͷదͳύʔε ͘༻͍ΒΕ͍ͯΔXJLJQFEJBQBSTFS XJLJFYUSBDUPSͳͲ Պֶܥͷهࣄʹଟ͍දݱࣜΛదʹύʔεͰ͖ͳ͍ ্ҐνʔϜ͜ͷ͜ͱ͕ݕࡧੑೳɺϞσϧͷਪੑೳΛ੍ݶ͍ͯ͠Δ͜ͱʹؾ͖ͮɺಠࣗͷલॲཧΛΈࠐΜͩΦϦδφϧ
σʔληοτΛ࡞͍ͯͨ͠ ΫϥελϦϯά 8JLJQFEJBͷશମͰͳ͘ՊֶܥͷهࣄͰΫϥελϦϯάͨ͠αϒηοτΛ༻͍Δ 1SPT ՊֶܥҎ֎ͷؔ࿈ͷͳ͍هࣄΛ͋Β͔͡Ίআ֎Ͱ͖Δɺݕࡧର͕গͳ͍ͷͰݕࡧϓϩηε͕ߴԽ͢Δ $POT ςετσʔλʹؔ࿈͢ΔจষΛͯ͢ΧόʔͰ͖͍ͯͳ͍Մೳੑ͕͋Δ {{val|0.782343|u=MeV}} -VBεΫϦϓτͰຒΊࠐ·Εͨ ΛదʹલॲཧͰ͖ͳ͍
·ͱΊ w ϞσϧͷਪύϑΥʔϚϯε্ʹೖྗ͢Δσʔλͷ࣭͕େ σʔλࣗମͷ࣭վળͱؔ࿈͢ΔจষΛਫ਼ྑ͘ݕࡧ͢Δ͜ͱ্͕ҐೖͷϙΠϯτͩͬͨ w ্ҐͷνʔϜ΄ͲΤϥʔੳΛపఈ͍ͯ͠Δɻެ։σʔληοτͷ՝Λݟ͚ͭಠࣗͷΫϦʔ χϯάख๏Λ༻͍ΔͳͲ࣭ͷߴ͍σʔληοτ࡞ʹ࣌ؒΛ͔͚͍ͯͨ ʢࢀߟʣ
,BHHMF--.4DJFODF&YBNEJTDVTTJPO LBHHMF--.ίϯϖɹ্Ґղ๏·ͱΊ ,BHHMFίϯϖʢ--.4DJFODF&YBNʣͷৼΓฦΓͱ্Ґղ๏·ͱΊ ʢ༨ஊʣॳ--.Λ܇࿅͢ΔͨΊʹܭࢉϦιʔε͕ඞཁͳίϯϖ͔ͱࢥ͕ͬͨɺ%FCFSUBͷΑ͏ͳʢ--.ͱൺʣ ൺֱతখ͍͞ϞσϧͷΈͰۚϝμϧΛ֫ಘ͍ͯ͠ΔνʔϜଟ͔ͬͨˠ%BUB$FOUSJDͳΞϓϩʔν͕ޮ͘ίϯϖͩͬͨ