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
pepacon night : log research working group report
Search
Hiroshi
May 13, 2019
Research
1.5k
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
pepacon night : log research working group report
Hiroshi
May 13, 2019
More Decks by Hiroshi
See All by Hiroshi
OSC-Hokkaido-2018-hayabusa
hirolovesbeer
0
740
イベントネットワークにおけるsyslog分析でのElasticsearchの利用
hirolovesbeer
1
1.3k
Other Decks in Research
See All in Research
Harness Engineering and Al Agent
kzinmr
3
2k
長時間動画QAにおけるマルチエージェント推論 ・SVAgent: Storyline-Guided Long Video Understanding via Cross-Modal Multi-Agent Collaboration
murakawatakuya
1
210
SoftMatcha 2: 1兆語規模コーパスの超高速かつ柔らかい検索
e869120_sub
7
3.9k
全国町字単位空き家率推定データver1.0データ仕様
microbaseinc
0
250
Anthropic が提案する LLM の内部状態を自然言語で説明可能にした Natural Language Autoencoders / Natural Language Autoencoders Produce Unsupervised Explanations of LLM Activations
shunk031
0
260
[最先端NLP勉強会2026] Checklists Are Better Than Reward Models For Aligning Language Models
nzw0301
1
310
第64回CV・PRML勉強会 論文紹介:Linguistic Priors for Visual Decoupling: Towards Symmetric Vision-Brain Alignment
sokikatayama
0
200
Spatial Active Noise Control Based onSound Field Interpolation Incorporating Physical Constraints
skoyamalab
0
190
OWASP AISVS - C7
shiell
2
780
多様なデータを許容し学習し続ける模倣学習 / Advanced Imitation Learning for VLA
prinlab
0
330
Sleuthcon Keynote - How Cybercriminals (ab)use AI
fr0gger
0
330
SLAMはどこまで解決されたのか?
tomonom
0
1.4k
Featured
See All Featured
Darren the Foodie - Storyboard
khoart
PRO
4
3.9k
The AI Search Optimization Roadmap by Aleyda Solis
aleyda
1
6.2k
Tell your own story through comics
letsgokoyo
1
1.1k
Rails Girls Zürich Keynote
gr2m
96
14k
Lessons Learnt from Crawling 1000+ Websites
charlesmeaden
PRO
1
1.6k
New Earth Scene 8
popppiees
4
2.6k
Site-Speed That Sticks
csswizardry
13
1.5k
The AI Revolution Will Not Be Monopolized: How open-source beats economies of scale, even for LLMs
inesmontani
PRO
3
3.7k
Principles of Awesome APIs and How to Build Them.
keavy
128
18k
How to build an LLM SEO readiness audit: a practical framework
nmsamuel
1
910
Mobile First: as difficult as doing things right
swwweet
225
10k
Build your cross-platform service in a week with App Engine
jlugia
234
19k
Transcript
ϩά8(׆ಈใࠂ Ѩ෦!ίίϯٕज़ݚڀࣨ
ࣗݾհ w Ѩ෦ത ത࢜ʢใՊֶʣ ઌՊֶٕज़େֶӃେֶࣰాݚڀࣨ w ॴଐ ίίϯגࣜձࣾגࣜձࣾϨϐμϜใ௨৴ݚڀػߏ 8*%&ϓϩδΣΫτϝϯόʔʢʙʣ *OUFSPQ5PLZP4IPX/FU/0$ϝϯόʔʢʙʣ
w ݚڀྖҬ ϩάղੳج൫ɺࢄγεςϜɺେنϞχλϦϯάɺΞϊϚϦݕ
ϩά8(ͱʁ w ݚڀର ߴͳϩάॲཧج൫ ߴͳ੍ޚϑΟʔυόοΫ ςϨϝτϦʹΑΔ࣍ੈࢹ ϩάੳʹΑΔҟৗݕରԠ w ଞͷٕज़ͷԠ༻ ߴͳΩʔϫʔυݕ
ϩάͷநग़ͱػցֶशͷ༥߹ ϩάղੳʹΑΔΞϊϚϦݕ࣮
ϩάɾAIʢػցֶशʣWGͷݚڀͷҐஔ͚ͮʢҰ෦ʣ 4 ϩάऩूɾݕࡧ จ຺ղੳ ϧʔϧద༻ ηΩϡϦςΟΦʔέετϨʔλ ใγεςϜͱϢʔβͱͷΓͱΓʹؔ͢ΔେͳϩάΛऩ ू͠ɺඞཁʹԠͯ͡ݕࡧͰ͖ΔػೳΛఏڙ ཁٻΛ࣌ܥྻʹଊ͑Δ͜ͱͰจ຺ΛѲ͠ɺͦͷ༰ม Խʹରͯ͠దͳϥϕϦϯάͱܖػΛ༩͑Δ
จ຺ղੳ͔ΒಘΒΕͨϥϕϦϯάܖػʹج͍ͮͯɺ࠷ద͔ ͭඞཁ࠷খݶͷηΩϡϦςΟΛఏڙ͢ΔαʔϏεΛߏ ཁٻจ຺ʹରͯ͠ɺͦͷ࣌ʑʹඞཁ࠷খݶͷηΩϡϦςΟ ͷఏڙΛҡ࣋͢ΔΈɻԼهͷίϯϙωϯτ͔ΒͳΔɻ ࢀরɿ͋ΜͪΆ͞ΜεϥΠυ
ͳΊΒ͔ͳΩϡϦςΟʹ͓͚Δؔ࿈ྖҬ αʔϏεʹඞཁͳϩάͷऩूͱݕࡧ ػցֶशͷϑΟʔυόοΫ
ϩάͷूதཧɺूதॲཧ
େنͳϩάΛѻ͏ڥྫɿ4IPX/FU ɿϧʔλ ɿ-εΠον ԫ৭ɿηΩϡϦςΟஔ *1WׂΓͯɿPWFS ΄΅શͯͷػث͕ϩάΛग़ྗ సૹஔɿ-BHPQVT Y'MPX TZTMPHΛෳ ϩάྲྀྔɿ
ඵؒLdLߦ ςελʔΛ͔͚Δͱഒͱ͔
طଘݚڀɿ)BZBCVTB 4IPX/FUͰͷϩάऩूˍूதॲཧΛతͱͯ͠։ൃ ԯߦͷϩάΛରͱͨ͠શจݕࡧΛ̓ඵͰ࣮ߦ IUUQTHJUIVCDPNIJSPMPWFTCFFSIBZBCVTB IUUQTHJUIVCDPNIJSPMPWFTCFFSIBZBCVTB ࢀরɿѨ෦ത ౡܚҰ ٶຊେี ؔ୩༐࢘ ੴݪ༸
Ԭా தଜྒྷ দӜ࢙ ࣰాཅҰ ࣌ؒ࣠ݕࡧʹ࠷దԽͨ͠εέʔϧΞτՄೳͳߴϩάݕࡧΤϯδϯͷ࣮ݱͱධՁ ใॲཧֶձจࢽ ר߸ QBHFT NBS
طଘݚڀɿ)BSWFTU ࣄલʹϥϕϦϯάͨ͠ϦϞʔτϩά͔Βඞཁͳ͚ͩΛϩʔΧϧʹऔಘ औಘͨ͠ϩά͚ͩΛରʹ·ͱΊͯݕࡧ IUUQTHJUIVCDPNL-P8IBSWFTU
طଘݚڀɿ5IF1MBUJOVN4FBSDIFS pOEHSFQQSJOUΛߴʹಈ࡞ͤ͞Δ (PݴޠʹΑΔόΠφϦϙʔλϏϦςΟͱ$16ίΞεέʔϧੑೳΛ࣮ݱ IUUQTHJUIVCDPNNPOPDISPNFHBOFUIF@QMBUJOVN@TFBSDIFS
ϩάͷूதॲཧ w ར ҰՕॴͰϩάΛूதॲཧ ଟ͘ͷιϦϡʔγϣϯ͕ར༻Մೳʢ044༻ΫϥυؚΉʣ ཧରجຊతʹ̍γεςϜɾ̍Ϋϥελ w ܽ సૹԆɺసૹଳҬ εΩϟϯͷैྔ՝ۚ
ॲཧج൫ͷنʢ)BEPPQͰنཧ͕ݫ͍͠ʣ
ͦͦ w ϩάॲཧͷݫີੑ CJUͷϩάܽଛ͍͚ͤͯ͞·ͤΜʁ /PɻͩͬͯɺΈΜͳ౷ܭσʔλϝΠϯͰ͔͠Έͳ͍͡ΌΜ /PɻͩͬͯɺΈΜͳTZTMPHΛ6%1ͰૹͬͯΔ͡ΌΜ ॲཧʹԆ͕͍͚͋ͬͯ·ͤΜʁ /Pɻͩͬͯɺ'MVFOUEͱ͔ͰCV⒎FSͯ͠Δஈ֊ͰԆ͢Δ͡ΌΜʢϩά౸ணͷԆʣ /PɻͩͬͯɺΫΤϦൃߦ͔ͯ͠ΒԠ͢Δ·ͰͯΔ͡ΌΜʢݕࡧ݁ՌͷԆʣ w
͋Εʁ࣮ϩάॲཧͬͯ ଟগɺॲཧ͕ΕͯΑ͍ʢϩάऩूԆɺݕࡧԆʣ ଟগɺσʔλ͕ܽଛͯ͠౷ܭσʔλ͕औΕΕΑ͍ ຊʹશͯͷσʔλ͕ඞཁͳΒɺύέοτΛΩϟϓνϟͯ͠ϑΥϨϯδοΫγεςϜ
ϩάͷࢄॲཧ
ϩάͷࢄॲཧ w ར సૹԆΛؾʹ͠ͳ͍ϦΞϧλΠϜݕࡧɺΩʔϫʔυݕͷଈԠੑ શͯͷϩάΛసૹ͢Δඞཁͳ͍ʢసૹଳҬͷѹॖʣ େنͳॲཧλʔήοτͷ࣮ݱ w ܽ ࢄॲཧʹΑΔෳࡶੑʢࢄॲཧ͍ͦͦ͠ʣ େنͳλʔήοτͷத͔ΒରΛൃݟ͢Δෳࡶ͞
ΫΤϦॲཧͷ࣮ߦॱং੍ޚ
ͳΊΒ͔ͳΩϡϦςΟʹ͓͚Δؔ࿈ྖҬ &EHFͰͷϩάॲཧ ӡ༻ͱΦʔέετϨʔλʔͷϑΟʔυόοΫ
ͳΊΒ͔ͳηΩϡϦςΟͱϩάॲཧ w ར༻ऀʹϚονͨ͠ηΩϡϦςΟΛҙࣝͤ͞ͳ͍ ˠϚΠΫϩηΩϡϦςΟαʔϏε αʔϏενΣʔχϯά ˠͦͷϚΠΫϩαʔϏε͕ग़ྗ͢ΔϩάΛ&EHFूΊΔ ˠ&EHFͰͷϩάॲཧΛਐΊΔ w &EHFͷେʢສʙʣ ˠنੑΛߟ͑ΔͱϚΠΫϩαʔϏεͷൺͰͳ͍
ˠαʔϏεϝογϡʹࢥҧ͍͕ɺຊ࣭αʔϏεσΟεΧόϦʔ ˠ(Λݟਾ͑Δͱͷ&EHFϋϯυΦʔόʔߟྀͨ͠ྖҬΛߟྀ͢Δ
4DBMBCMF&EHF-PH1SPDFTTJOH w ϩάॲཧΛ&EHFدͤΔ &EHFͰͷϩάੵ &EHFͰͷϩάॲཧͷ݁ʢࣗݾ݁PS݁ՌͷΈ֎෦సૹʣ w αʔϏεσΟεΧόϦʔͷԠ༻ &EHFͰಈ͘ϚΠΫϩαʔϏεͷϩάΛऩूɾॲཧ ͦͷͨΊͷϚΠΫϩαʔϏεͷ࠷దԽϧʔςΟϯά w
ͳͥݚڀʹͳΔ͔ʁ نੑʢ&EHFສʙेສΛఆʣ αʔϏεσΟεΧόϦʔͷ࠷దԽख๏
w ϩάҰݩཧͷܽ సૹίετ ऩूσʔλྔͷ ηΩϡϦςΟ ΫΤϦ՝ۚ ΞʔΩςΫνϟΠϝʔδʢԾʣ w ఏҊख๏ ϩάΛҰՕॴूΊͳ͍
&EHFͰϩάΛॲཧ ౷ܭσʔλͷΈΛฦ͢ w ଞͷख๏ͱͷҧ͍ εέʔϥϏϦςΟͷ࣮ݱ αʔϏεσΟεΧόϦʔʹΑΔϧʔςΟϯά ສ&EHFͷԠ༻ $MJFOU αʔϏεσΟεΧόϦʔ 5BTL2VFVF &EHF &EHF 5BTL2VFVF &EHF &EHF 5BTL2VFVF &EHF &EHF XFC XFC XFC EC XFC LWT XFCϩάͷݕࡧΫΤϦ ΫϥΠΞϯτ αʔϏεσΟεΧόϦʔ ࢄ5BTL2VFVF &EHF w ࣮ํ αʔϏεσΟεΧόϦʔ$POTVM )BTIJDPSQ ࢄ5BTL2VFVF$FMFSZ 1ZUIPO &EHFɿ5IF1MBUJOVN4FBSDIFS
·ͱΊ w ͜Ε·ͰͷϩάॲཧͷऔΓΈ ˠϩάूதॲཧͷ࣌ w ϩάॲཧͷूத͔Βࢄ ˠϚΠΫϩʢηΩϡϦςΟʣαʔϏεΛߟྀͨ͠ϩάͷࢄॲཧ w &EHFͰͷॲཧػߏͷఏҊ ˠ&EHF-PH1SPDFTTJOHʹಛԽͨ͠ΞʔΩςΫνϟͷఏҊ
None