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
生成AIを用いたサービスの紹介
Search
Uryu Shinya
December 05, 2024
Technology
260
1
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
生成AIを用いたサービスの紹介
Uryu Shinya
December 05, 2024
More Decks by Uryu Shinya
See All by Uryu Shinya
安全なAI利用のためのLLM(大規模言語モデル)の利用と評価 / japanr2025
s_uryu
0
110
生成AIサービスを用いた研究活動の支援
s_uryu
0
250
R研究集会(2024)のご案内
s_uryu
1
790
生成AIの基礎的事項と社会に与える影響
s_uryu
0
120
Rの機械学習フレームワークの紹介〜tidymodelsを中心に〜 / machine_learning_with_r2024
s_uryu
0
1.7k
地理空間データの機械学習への適用 / machine_learning_for_spatial_data
s_uryu
0
410
mandaRa: R言語ユーザのための新しい知識共有の場 / mandara_tokyor111
s_uryu
2
820
R言語入門 (R-4.3.3 2024年4月版) / introduction to r
s_uryu
7
7.4k
統・再現性・協力: 人為的過誤を防ぎ、未来へ進む策 / Integration, Reproducible, and Collaboration
s_uryu
1
900
Other Decks in Technology
See All in Technology
AIがGISを代替する日:〜すべてをAIが創る時代に、私たちがFOSS4Gに関わる意味〜
lehupa
1
220
Metadata - Section 3 : Dublin Core Standard · DC
mohab1
0
120
BALLAS Technology Deck
ballas_inc
0
450
MCPでAIが自分で調べに行く
cdataj
0
140
AIエージェントの監視、思考を見るか行動を見るか / Monitoring AI Agents: Thoughts or Actions
yusukeshimizu
2
180
Kiro Crew 入門 (手を離しても進む仕事) | 目指せ Kiro マスター 11
inariku
PRO
4
670
Shared Signals Framework 仕様解説
oidfj
0
350
Context Ontology Accelerator 入門 (業務データの意味を、AI エージェントに渡す)
inariku
PRO
3
620
Kiro Crew の Bot (続く役目を任せる窓口) | 目指せ Kiro マスター 12
inariku
PRO
2
360
分析作業をどこまで任せるか自分で決められる AIネイティブBI『Golden Analytics』が 良さげな話 /golden-analytics-is-ai-native-bi
shinyaa31
0
140
Content Mapper APIの応用例~CSS Modules、言語ファイル~
uhyo
2
640
会社説明資料_最新版
demaecan
0
32k
Featured
See All Featured
The Pragmatic Product Professional
lauravandoore
37
7.5k
Why Our Code Smells
bkeepers
PRO
340
58k
Between Models and Reality
mayunak
4
570
Mozcon NYC 2025: Stop Losing SEO Traffic
samtorres
1
600
JAMstack: Web Apps at Ludicrous Speed - All Things Open 2022
reverentgeek
1
680
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
128
56k
Docker and Python
trallard
47
4.3k
The Illustrated Children's Guide to Kubernetes
chrisshort
51
53k
Building AI with AI
inesmontani
PRO
1
1.4k
Designing for Timeless Needs
cassininazir
1
560
State of Search Keynote: SEO is Dead Long Live SEO
ryanjones
0
350
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
4.6k
Transcript
σβΠϯܕ"*ڭҭݚڀηϯλʔཧֶ෦ʢซʣ ӝੜਅ ੜ"*Λ༻͍ͨαʔϏεͷհ .4$PQJMPUɺ(PPHMF(FNJOJɺ1FSQMFYJUZɺ/PUFCPPL-. ੜ"*ϋϯζΦϯηϛφʔ
࣍ جૅతࣄ߲ ֤छ"*αʔϏεͷհ "*αʔϏεͱͷ͖߹͍ํ 1
1 1
جૅతࣄ߲ എܠͷը૾*NBHF'9Ͱੜ
ੜ"*αʔϏεɾπʔϧ ʢ04ʣΈࠐΈ ʢྫʣ"QQMF*OUFMMJHFODF $PQJMPUJO8JOEPXT ͷΞϓϦέʔγϣϯͱͯ͠ར༻ ʢྫʣ.JDSPTPGU&EHF "SD
0MMBNB ΣϒαʔϏεͱͯ͠ར༻ ΣϒαʔϏεͷҰ෦ػೳʹར༻ ʢྫʣ/PJUPO"* 'JHNB"* /BQLJO (BNNB
ੜ"*αʔϏεɾπʔϧ จষɾը૾ͷ࡞ɺ༁ɺ ༩͑ͨใʹجͮ͘ݕࡧɾੜ ը૾ɾಈըͷ࡞ ༩͑ͨใʹجͮ͘ݕࡧɾੜ "*ݕࡧΤϯδϯ ʢྫʣ$IBU(15 (FNJOJ
$MBVEF 1-B.P ରܕੜ"* Σϒϒϥδϯάͱཁ ը૾ੜ"* "*ϊʔτϒοΫ ʢྫʣ/PUFCPPL-. 1FSQMFYJUZ /PUJPO"* ʢྫʣ%SFBN4UVEJP *NBHF'9 #JOH*NBHF$SFBUPS ʢྫʣ.JDSPTPGU&EHF "SD ҰͭͷαʔϏεͰෳͷػೳΛ༗͢Δͷ͋Δ σβΠϯɺ࡞ ʢྫʣ/BQLJO $BOWB 'JHNB (BNNB
ੜ"*αʔϏεͰ͜ΕΒͷϞσϧΛར༻͢Δ ੜ"*Ͱ༻͍ΒΕΔϞσϧʢେنݴޠϞσϧʣ (150QFO"* $MBVEF"OUISPQJD --BNB.FUBʢچ'BDFCPPLʣ (SPLY"* (FNJOJ(PPHMF%FFQ.JOE 6MUSB 1SP 'MBTI
'MBTI# /BOP (155VSCP (15P (15PNJOJ PQSFWJFXͳͲ
ରܕੜ"*ͷൺֱ https://www.nikkei.com/article/DGXZQODL1858X0Y4A910C2000000/ ར༻͢ΔϞσϧʹԠͯ͡ಛಘҙɾෆಘҙ͕͋Δ ͳͥʁ ˠֶशσʔλͷ࣭ͱྔɺֶशϞσϧͷنʢύϥϝʔλʣͳͲ͕ҟͳΔͨΊ
͂ ਓೳΛؚΉػցֶशͷΛѻ͏ ੜ"*ͷར༻ํ๏ ೖྗ <latexit sha1_base64="9l8a28VdIjaXoBKkK/gsygflnqA=">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</latexit> y = f(x) ग़ྗ
ϓϩϯϓτʢࢦࣔจʣ σʔλ ੜ"* ༧ଌɺྨ ೖྗ ग़ྗ Ϟσϧ ίϯςϯπʢจষը૾ɺԻͳͲʣ $IBU(15ͷ͍ํΛڭ͑ͯ ಙౡݝͷΠϝʔδΛը૾Ͱग़ྗͯ͠ ग़ྗͯ͠΄͍͠ใɺ ߦͬͯ΄͍͠࡞ۀΛࢦࣔ͢Δ $IBU(15ͷ͍ํʹ͍ͭͯɺҎԼʹ͍͔ͭ͘ͷϙΠϯτΛ·ͱΊ·͢Ͷɻ ࣭૬ஊΛ͢Δ • ใऩूɿΘ͔Βͳ͍͜ͱΓ͍ͨ͜ͱΛ࣭͢ΔͱɺͰ͖Δ͚ͩΘ͔Γ͓͑͘͢ ͠·͢ɻྫ͑ɺʮ"*ͱԿ͔ڭ͑ͯʯʮ4%(Tʹ͍ͭͯΓ͍ͨʯͳͲɻ • ૬ஊɿࣄษڧɺৗੜ׆ͰͷΈΛ૬ஊ͢Δ͜ͱՄೳͰ͢ɻΈʹରͯ͠ΞυόΠ εαϙʔτΛߦ͍·͢ɻ
ݕࡧ֦ுੜ ༩͑ͨใʹجͮ͘ݕࡧɾੜ 3"(3FUSJFWBM"VHNFOUFE(FOFSBUJPO ඞཁͳͷʁ Կ͕ग़དྷΔʁ --.͕ग़ྗ͢Δใʢ෦ࣝʣɺֶश࣌ͷσʔλʹج͍͍ͮͯΔ ˠ࠷৽ͷใݸผͷঢ়گΛөͨ͠ग़ྗͱͳΒͳ͍Մೳੑ͕͋Δ ֎෦ࣝͱͯ͠Ϣʔβʔ͕৽ͨͳใΛ༩͑Δ ˠ--.͕࣋ͭࣝͷ෦දݱΛิ͏ͨΊʹ֎෦ͷࣝιʔεʹϞσϧΛ ͤ͞Δ͜ͱͰɺ--.͕ੜ͢Δճͷ্࣭͕͢Δ
˞ΞοϓϩʔυˠࣗͰͷར༻ʹݶΒͣɺকདྷతʹֶशʹར༻͞ΕΔՄೳੑ͋Δ ֎෦ࣝͱͳΔॻྨɺσʔλ
ೳͷ࣌ʙ"*Λୈೋɺୈࡾͷͱͯ͠׆༻͢Δʙ */165 065165
֤छ"*αʔϏεͷհ
"*ࡌϒϥβ
.JDSPTPGU$PQJMPU ΞϓϦέʔγϣϯʹࡌ͞ΕΔ.4"*αʔϏεͷ૯শ https://copilot.microsoft.com/ 8PSEɺ&YDFMɺ1PXFS1PJOUɺ5FBNTͷ.4ΞϓϦέʔγϣϯʹࡌ $PQJMPUGPS.JDSPTPGU $PQJMPUJO8JOEPXT νϟοτΛհͨ͠ͷઃఆมߋɾ੍ޚɻΩʔϘʔυ͓ΑͼΞϓϦ͔Βىಈ $PQJMPUJO&EHF "*ࡌͷΣϒϒϥβ ͲΜͳͷؚ͕·ΕΔʁ
ຊ͝հ ࡞ۀ༰ʹԠͨࣗ͡ಈԽݕࡧɺ࡞ۀ࣌ؒͷॖʹޮՌత
&EHF ӾཡதͷΣϒϖʔδʹܝࡌ͞Εͨ༰ʹ͍͍ͭͯ߹ΘͤΔ 1%'Ͱͷจষ .JDSPTPGU&EHFʢΞϓϦέʔγϣϯʣͷΠϯετʔϧ ඞཁͳͷʁ Կ͕ग़དྷΔʁ ΞΧϯτొ https://www.microsoft.com/ja-jp/edge/ "*ࡌͷΣϒϒϥβ
"SD ӾཡதͷΣϒϖʔδʹܝࡌ͞Εͨ༰ʹ͍͍ͭͯ߹ΘͤΔ 1%'Ͱͷจষ "SDʢΞϓϦέʔγϣϯʣͷΠϯετʔϧ ΞΧϯτ࡞ ඞཁͳͷʁ Կ͕ग़དྷΔʁ https://arc.net/gift/4280d3d "*ࡌͷΣϒϒϥβʢ(PPHMF$ISPNFΫϩʔϯʣ
ӾཡதͷΣϒϖʔδͷࣗಈཧ ݕࡧ݁ՌͷϓϨϏϡʔ
&EHF·ͨ"SDΛࢼͦ͏ ʢྫʣཧɾσʔλαΠΤϯεɾ"*ڭҭϓϩάϥϜೝఆ੍ ఆ໘ɿจ෦ՊֶলͷࡦɾऔΓΈʹؔ͢Δௐࠪ https://www.mext.go.jp/a_menu/koutou/suuri_datascience_ai/00001.htm ֓ཁΛ·ͱΊΔʮ͜ͷϖʔδͷ֓ཁʁʯ ೝఆཁ݅ΛΔʮ۩ମతͳೝఆཁ݅Ͳ͜ʹهࡌ͞Ε͍ͯΔʁʯ ͦͷଞʮ1%'ϦϯΫҰཡΛ༻ҙͯ͠ʯ
&EHF·ͨ"SDΛࢼͦ͏
&EHF·ͨ"SDΛࢼͦ͏ ͋Εʁ
&EHF·ͨ"SDΛࢼͦ͏ ϖʔδͷίϯςϯπΛཧղͯ͘͠Εͳ͍ˠઃఆ͔ΒڐՄΛग़͢
&EHF·ͨ"SDΛࢼͦ͏ ࣈນػೳ͕ར༻Մೳͳಈըͷཧ
&EHF·ͨ"SDΛࢼͦ͏ "SDͷ߹ɺ.BYػೳΛ༗ޮԽ͠ɺ ʮ5VSO0O"MMʯ͋Δ͍ݸผͷػೳʹνΣοΫΛ͚ͭΔ "TL0O1BHF
ࣄ࡞ۀͱ࿈ܞ͢Δ"*
ඞཁͳͷʁ (FNJOJ https://gemini.google.com/ (PPHMFͷ֤छαʔϏεͱ࿈ܞͨ͠ݕࡧ ʢ3"(ͷ֎෦ࣝʹϝʔϧɺΧϨϯμʔɺϚοϓɺυΩϡϝϯτΛར༻ʣ Կ͕ग़དྷΔʁ (PPHMFΞΧϯτ ༗ྉ൛͋Γˠ(FNJOJ"EWBODFEʢԁ݄ʣɻΫϥυετϨʔδͷಛయ ը૾ੜʢ*NBHFOʹΑΔɻ$IBU(15ɺ.4$PQJMPUͰՄ
ˠ$PQJMPUGPS.JDSPTPGUతͳࣄ࡞ۀ͕Մೳ (PPHMF%FFQ.JOE͕։ൃ͢Δ--.ʢ(FNJOJʣʹΑΔର (PPHMFαʔϏεʹඥ͘ରܕੜ"*αʔϏε
(FNJOJΛࢼͦ͏ (PPHMFͷ֤छαʔϏεΛݕࡧͷىʹ͢Δ աڈҰؒͰ&$αΠτʢ"NB[POָ ఱʣͰߪೖͨ͠ͷʁ શͰͳ͍ ࠜڌࢿྉʢ͜ͷ߹ϝʔϧʣΛఏࣔ 4FUUJOHTʢઃఆʣˠ&YUFOTJPOT ֦ுػೳ ˠ
(FNJOJΛࢼͦ͏ ʮ!αʔϏε໊ʯΛϓϩϯϓτͷઌ಄ʹ͚ͭͯ
(FNJOJΛࢼͦ͏ จ͔ΒεϥΠυͷ࡞ (FNJOJʢ$IBUʣͰจΛಡ·ͤΔPSυΩϡϝϯτͰݪߘΛಡ·ͤΔ εϥΠυͷϖʔδͱͯ͠ཧͯ͠Β͏ ϓϨθϯςʔγϣϯͰϖʔδΛ࡞
/PUFCPPL-. https://notebooklm.google/ (FNJOJͱϢʔβʔ͔Βͷ֎෦ࣝʹΑΔௐࠪཁɺΦϦδφϧͷϊʔτ࡞ ࢿྉʹجͮ͘ௐࠪʹ༏Εͨ"*Ξγελϯτ ඞཁͳͷʁ Կ͕ग़དྷΔʁ (PPHMFΞΧϯτ ϓϥΠόγʔͷอޢʜ ʮೖྗࢿྉϞσϧ͔ΒͷԠʹ͓͚ΔݸਓσʔλΛ༻͠ͳ͍ʯ ࢿྉதͷจষͷ΄͔ɺਤදʹ͍ͭͯཧղ
ࢿྉʢจষɺ1%'63-ɺԻϑΝΠϧͳͲʣ
/PUFCPPL-.Λࢼͦ͏ ༻ޠͷઆ໌ ιʔεʢ֎෦ࣝʣ ϊʔτʢϝϞʣ ʢྫʣཧɾσʔλαΠΤϯεɾ"*ڭҭϓϩάϥϜೝఆ੍ https://www.mext.go.jp/a_menu/koutou/suuri_datascience_ai/00001.htm ͭͷιʔε.#·Ͱɻ߹ܭ·ͰͷιʔεΛՃՄೳ ϊʔτϒοΫͰϞσϧ͔ΒͷԠΛه ϊʔτϒοΫ /PUFCPPL-.ͰͷϓϩδΣΫτͱͯ͠ѻΘΕΔ
"*ݕࡧΤϯδϯ
1FSQMFYJUZ https://www.perplexity.ai/ (15Λ࢝Ίͱ֤ͨ͠छ--.Λ༻͍ͨΣϒݕࡧɾཁɺϖʔδͷ࡞ ΞΧϯτొෆཁͰར༻Մೳɻͨͩ͠ཤྺΒͳ͍ ༗ྉ൛͋Γˠ1SPʢແྉͰ੍ݶ͖Ͱར༻Մɻυϧ݄·ͨυϧʣ https://www.softbank.jp/mobile/service/perplexity-ai/ ιϑτόϯΫɾϫΠϞόΠϧɾ-*/&.0ͷϢʔβʔͰ͋ΕҰؒ1SP͕ແྉ ඞཁͳͷʁ Կ͕ग़དྷΔʁ ग़యݩͷ໌ه
(15Λج൫ͱͨ͠"*ݕࡧΤϯδϯ ݕࡧ݁ՌΛͱʹʮ1BHFTʯΛ࡞ɺಠࣗυΩϡϝϯτͷՃʹΑΔʮ4QBDFTʯ
(FOTQBSL https://www.genspark.ai/ "*ͷ࡞ۀґཔʢλεΫػೳʣ ɹϑΝΫτνΣοΫʹΑΓϋϧγωʔγϣϯΛ͙ ɹσʔλݕࡧ ඞཁͳͷʁ Կ͕ग़དྷΔʁ ΞΧϯτొෆཁͰར༻Մೳɻͨͩ͠جຊػೳͷΈʹ੍ݶɻཤྺΒͳ͍ (PPHMFΞΧϯτͰΞΧϯτొ ΈࠐΈͷ"*$PQJMPUͱͷର
ϦΞϧλΠϜͳݕࡧͱࠂภΓͷͳ͍ίϯςϯπͷੜ
1FSQMFYJUZ·ͨ(FOTQBSLΛࢼͦ͏ IUUQTXXXQFSQMFYJUZBJTFBSDIOJBOOPIVSPZFRJVSJCFOT 45OLR9%(5),T.F97KNFH ʢྫʣ࠷ۙͷʹ͍ͭͯͷʮ·ͱΊʯ ࠓʢʣͷϓϩٿຊγϦʔζͷ݁Ռ ݄ͷΞϝϦΧେ౷ྖબڍͷ ݄ͷؖࠃେ౷ྖͱࠃձͱͷؒͰىͬͨ͜ࣄ݅
"*αʔϏεͱͷ͖߹͍ํ
"*ͰࣄָʹͳΔͷʁ "*ʮ࡞Γʯʢ"TTJTUJWF*OUFMMJHFODFʣͱͯ͠༗ޮ https://trackingai.org/IQ ʮ"*ɺ͋ΒΏΔ࢈ۀʹ͓͚Δੜ࢈ੑ্ͱΠ ϊϕʔγϣϯʹࢿ͢Δͷ Ͱ͋Γɺੵۃతͳ׆༻Ҏ֎ͷબࢶͳ͍ʯ https://www.keidanren.or.jp/policy/2023/067_honbun.html ʰ"*׆༻ઓུ**ʙΘ͕ࠃͷ"*1PXFSFEԽʹ͚ͯʙʱҰൠࣾஂ๏ਓຊܦࡁஂମ࿈߹ձ "*QPXFSFE
"*QPXFSFE "* "* োน 0OFNPSFUIJOH
"*શੈքͰύϥμΠϜγϑτΛͨΒ͢ ݸਓ͔Β࢈ۀɺֶज़ɺࣾձɺࠃՈɺٿڥ·ͰӨڹΛٴ΅͢ Ϟσϧ։ൃऀΒҰ෦Λআ͍ͯɺ࠷ઌͷ"*ʢϑϩϯςΟΞ"*ʣϞσϧ͕୭Ͱར༻Մೳ ຊͷ߹ɺσδλϧԽͷΕɺʮࣦΘΕͨʯΛṢճ͢Δػձ ిؾɾΨεɾਫಓɾΠϯλʔωοτʹ͙࣍ܦࡁɾࣾձج൫ˠ͓ۚΛ͏Ձ͋Δ ଟ͘ͷαʔϏεɾػೳ͕ແྉͰ͑Δˠࢼ͞ͳ͍खͳ͍
ॾҙ ٵऩ͞ΕͨΓɺผͷαʔϏεͰಉ༷ͷػೳ͕ఏڙ͞ΕΔΑ͏ʹͳͬͨΓͯ͠ ʮαʔϏεऴྃʯ͢Δ ϕʔλ൛ͷؒແྉͰ͑ͨͷ͕ɺ༗ྉػೳʹͳΔ αʔϏε͍ͭ·Ͱ͑ΔͱݶΒͳ͍ ࣍ʑͱ৽αʔϏεػೳ͕ग़ͯ͘Δɻͣͬͱ͍ͬͯΔͱݹ͘ͳΔՄೳੑ ͍Ζ͍Ζͳπʔϧ͕͋Δ͕ɺߜΓͳ͕ΒͬͯΈΔ