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
LangChain Toolsの運用と改善
Search
peisuke
April 25, 2023
Technology
4
2.6k
LangChain Toolsの運用と改善
2023/4/25 LLM(GPT, PaLM等) with MLOps LT大会!!! 発表資料
peisuke
April 25, 2023
Tweet
Share
More Decks by peisuke
See All by peisuke
LangGraphで始めるマルチエージェントシステム
peisuke
13
4.1k
AutoGenで作るLLM Agen
peisuke
1
1.4k
Self-RAG: Learning to Retrieve, Generate and Critique through Self-Reflections
peisuke
9
1.4k
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
peisuke
0
10k
GNeRF: GAN-based Neural Radiance Field without Posed Camera
peisuke
1
750
TTS Skins: Speaker Conversion via ASR
peisuke
0
380
A Quantum Computational Approach to Correspondence Problems on Point Sets
peisuke
0
680
F0-Consistent Many-to-many Non-parallel Voice Conversion via Conditional Autoencoder
peisuke
0
180
YOLACT real-time instance segmentation
peisuke
1
270
Other Decks in Technology
See All in Technology
CloudWatch Container Insightsを使ったAmazon ECSのリソース監視
umekou
1
140
プロダクト観点で考えるデータ基盤の育成戦略 / Growth Strategy of Data Analytics Platforms from a Product Perspective
yamamotoyuta
0
400
extensionとschema
yahonda
1
150
Zenn のウラガワ ~エンジニアのアウトプットを支える環境で Google Cloud が採用されているワケ~ #burikaigi #burikaigi_h
kongmingstrap
19
7.2k
日本語プログラミングとSpring Bootアプリケーション開発 #kanjava
yusuke
2
370
攻撃者の視点で社内リソースはどう見えるのかを ASMで実現する
hikaruegashira
4
2.2k
A Hidden Pitfall of K8s DNS with Spring Webflux
musaprg
0
200
AWSでRAGを実現する上で感じた3つの大事なこと
ymae
3
790
Amazon Location Serviceを使ってラーメンマップを作る
ryder472
2
170
クラウドネイティブ時代を乗り越えるためのオブザーバビリティ(可観測性)ことはじめ_CloudNative-Observability
tkhresk
0
110
Kubernetes x k6 で負荷試験基盤を開発して 負荷試験を民主化した話 / Kubernetes x k6
sansan_randd
0
480
論文紹介 ”Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG” @GDG Tokyo
shukob
0
290
Featured
See All Featured
Thoughts on Productivity
jonyablonski
69
4.4k
Music & Morning Musume
bryan
46
6.3k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
44
7k
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
280
13k
The Art of Delivering Value - GDevCon NA Keynote
reverentgeek
8
1.3k
RailsConf 2023
tenderlove
29
980
How STYLIGHT went responsive
nonsquared
98
5.3k
Become a Pro
speakerdeck
PRO
26
5.1k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
175
51k
Navigating Team Friction
lara
183
15k
Product Roadmaps are Hard
iamctodd
PRO
50
11k
It's Worth the Effort
3n
184
28k
Transcript
LangChain Toolsͷӡ༻ͱվળ !QFJTVLF
ࣗݾհ ໊લɿ౻ຊ ܟհ ॴଐɿ"#&+"ʢ-BCTʣ ෭ۀɿ.-Λத৺ʹ૬ஊ͔Β։ൃ·Ͱͬͯ·͢ ੋඇ͓͕͚Լ͍͞ ׆ಈɿ5XJUUFS!QFJTVLF (JUIVC IUUQTHJUIVCDPNQFJTVLF 2JJUB
IUUQTRJJUBDPNQFJTVLF 4MJEF4IBSF IUUQTXXXTMJEFTIBSFOFU'VKJNPUP,FJTVLF গ͚ͩ͠ॻ͍ͯ·͢
ࠓճͷςʔϚʹ͍ͭͯ • --.୯ಠͩͱ༻్ʹݶք͕͋Γɺ֎෦πʔϧͱͷ࿈ܞ͕େࣄ • -BOH$IBJO5PPMTͷՄೳੑ͕ੌ͍ • 5PPMΛݺͼग़ͨ͢Ίʹઃఆ͢Δ%FTDSJQUJPOΛɺ.-ͷϊϦͰ ςετɾमਖ਼Λ͢ΔΈͷఏҊͱ࣮ݧ
--.ͷݶք • --.୯ಠͰ༻ͨ͠߹ͷݶք • ֶश͍ͤͯ͞ͳ͍σʔλʹରԠͰ͖ͳ͍ͨΊɺϦΞϧλΠϜͳ࣭ ઐతɾಠࣗͷ࣭ʹ͑ΒΕͳ͍ • ౦ژͷਓޱͱ͍ͬͨಛఆͷ࣭ʹ͍ͭͯޡͬͨճΛ͕ͪ͠ • ͍͔ʹͯ͠ޡͬͨճΛग़͞ͳ͍Α͏ʹͭͭ͠ɺ༗༻ͳ݁ՌΛ
ಘΔ͔͕ࠓޙͷ׆༻ͷϙΠϯτʹͳͬͯ͘Δ
ํ • ཁ݅తͳͱ͜Ζ • --.͕ճෆՄೳͳઐతͳࣝ˞ͷΞΫηε ˞࠷৽ͷใɺ࢛ଇԋࢉɺࣾͷφϨοδɺͦͷଞ༷ʑͳΈ • ͳΔ͘ޡͬͨճΛग़͞ͳ͍Α͏ʹ͢Δ • ղܾํ
• --.୯ಠͰΘͣɺͦͷଞͷΈͱ࿈ܞ͢Δ • ݕࡧͷΈͱΈ߹Θͤͨ-MBNB*OEFYͳͲ͕͋Δ
--.ͷࠓޙͷΘΕํͷఆ ཁɺ༁ φϨοδݕࡧ ϨίϝϯυͳͲ ϑΣʔζ̍ ϑΣʔζ̎ ϑΣʔζ̏ --.୯ಠͰͷར༻ खॱͷܾ·ͬͨλ εΫ
ϧʔϧϕʔεͰ--. ͱผϩδοΫͷΈ ߹Θͤ ॊೈʹෳϩδοΫ Λݺͼग़ͯ͠ར༻ ֓ཁ ಛ ۩ମྫ ֎෦φϨοδΛ Θͳ͍ɺରͷத Ͱ݁Ͱ͖Δ ࣗ༝ͳରγες ϜɺෳࡶͳλεΫ ෳͷΈΛΈ߹Θͤ ʢ-MBNB*OEFYʣ ʢ(151MVHJOTɺ+"37*4ɺ -BOH$IBJO5PPMʣ
--.ͷࠓޙͷΘΕํͷఆ ཁɺ༁ φϨοδݕࡧ ϨίϝϯυͳͲ ϑΣʔζ̍ ϑΣʔζ̎ ϑΣʔζ̏ --.୯ಠͰͷར༻ खॱͷܾ·ͬͨλ εΫ
ϧʔϧϕʔεͰ--. ͱผϩδοΫͷΈ ߹Θͤ ॊೈʹෳϩδοΫ Λݺͼग़ͯ͠ར༻ ֓ཁ ಛ ۩ମྫ ֎෦φϨοδΛ Θͳ͍ɺରͷத Ͱ݁Ͱ͖Δ ࣗ༝ͳରγες ϜɺෳࡶͳλεΫ ෳͷΈΛΈ߹Θͤ ʢ-MBNB*OEFYʣ ʢ(151MVHJOTɺ+"37*4ɺ -BOH$IBJO5PPMTʣ ຊͷλʔήοτ
-BOH$IBJO5PPMTͷ؆୯ͳઆ໌ʢʣ • ֎෦ͷπʔϧΛॊೈʹར༻Ͱ͖ΔΈ • ಠࣗͷπʔϧΛ༻ҙ͓͖ͯ͠ʢԼਤ̍ࢀরʣɺBHFOUʹରͯ͠ ΫΤϦΛ͛ΔʢԼਤ̎ࢀরʣ • ྫɿϗςϧϨίϝϯυπʔϧ SVOϝιουͰ݁ՌΛฦ
-BOH$IBJO5PPMTͷ؆୯ͳઆ໌ʢʣ • -BOH$IBJOଆͰπʔϧΛ͏͖͔Ͳ͏͔ɺͲͷπʔϧΛ ͏͖͔Λஅͯ͠ɺπʔϧΛۦͭͭ݁͠ՌΛฦ͢ πʔϧΛ͏͔Λఆ ͏πʔϧΛܾఆ
-BOH$IBJO5PPMTͷ؆୯ͳઆ໌ʢʣ • ෳͷπʔϧΛ࿈ܞͤͨ͞ߴͳ݁ՌΛฦ͢͜ͱՄೳ ݕࡧπʔϧ ܭࢉπʔϧ
-BOH$IBJO5PPMTΛ࣮ࡍʹ͏্Ͱͷ՝ • %FTDSJQUJPOͷఆ͕ٛʮ͔ͳΓʯ͍͠ • 5PPM͕૿͑ͯ͘Δͱɺఆ௨Γʹ5PPMΛͬͯ͘Εͳ͍ • ӡ༻ͷதͰదʹ5PPMΛબͯ͘͠ΕΔΑ͏मਖ਼͍ͯ͘͠ඞཁ͕͋Δ %FTDSJQUJPO
ʮ%FTDSJQUJPO0QTʯ Λߟ͑ͯΈͨ
%FTDSJQUJPO0QTͱ • ʮ͜ͷΫΤϦʹରͯ͠ɺ͜ͷπʔϧͱ͜ͷπʔϧ͕ݺΕΔ͖ʯͱ͍͏ɺ ೖྗͱਖ਼ղͷϖΞΛ༧Ίࢁ༻ҙ͓ͯ͘͠ʢ.-ʹ͓͚Δڭࢣσʔλʣ • ࣮ࡍʹΫΤϦΛୟ͍ͯΈͯɺఆ௨Γͷπʔϧ͕ݺΕ͍ͯΔ͔Λςετ ʢ.-ʹ͓͚Δਪʣ • ݺΕ͍ͯͳ͔ͬͨΒɺ݁ՌΛ--.ʹͯ͠मਖ਼͠ɺ͜ΕΛ܁Γฦ͢ ʢ.-ʹ͓͚Δֶशʣ
͜ͷΛ͍ɺӡ༻தʹվળͷϓϩηεΛճ͢ʂ ʢͱ͍͏ϑϨʔϜϫʔΫͷఏҊʣ
%FTDSJQUJPO0QTͷ࣮ݧ • ΦεεϝͷגͷฑΛग़ྗͦ͠ͷࣄۀ༰Λग़ྗ͢ΔΈΛ ରʹ͢Δ • גͷฑ͚ͩϨίϝϯυ͞ΕͯɺͦͷϏδωεϞσϧച্ΛҰॹ ʹΓͨ͘ͳΔ • ࣗͰ৭ΜͳใΛௐͯௐࠪΛͤͣͱɺ5PPMTͷΈΛ͍ඞ ཁͳใΛҰׅͰूΊ͍ͨ
• ҎԼͷطଘπʔϧ܈Λ͍࣋ͬͯΔ͜ͱΛఆ • πʔϧ̍ɿΦεεϝͷגͷձ໊ࣾΛग़ྗ͢Δ"1* • πʔϧ̎ɿձ໊͔ࣾΒฑίʔυʹม͢Δ"1* • πʔϧ̏ɿฑίʔυʹରԠ͢Δࣄۀ༰Λग़ྗ͢Δ"1*
ςετ༻ͷ5PPMΛ࡞͓ͯ͘͠ • 5PPM͕ݺΕΔ͔͚ͩݟΕྑ͍ͷͰɺ"1*ࣗମϞοΫΞο ϓͰ0, • Սۭͷձ໊ࣾΛೖΕ͓ͯ͘͜ͱͰɺ(15ࣗମ͕͑ͳ͍Α ͏ʹ͓ͯ͘͠
%FTDSJQUJPO0QTͷϑϩʔ ਖ਼ղσʔλͷೖྗ ॳظͷ%FTDSJQUJPOઃఆ ༩͑ͨ%FTDSJQUJPOΛݩʹπʔϧΛݺͼग़͠ ਖ਼ղσʔλͱൺֱͯ͠ɺͲͷҐͷਫ਼Ͱπʔϧ͕ݺͼग़͞Ε ͔ͨΛςετ
ਫ਼্͕͕ΔΑ͏ʹ%FTDSJQUJPOΛमਖ਼ ʹΔ
%FTDSJQUJPO0QTͷϑϩʔ ਖ਼ղσʔλͷೖྗ ॳظͷ%FTDSJQUJPOઃఆ ༩͑ͨ%FTDSJQUJPOΛݩʹπʔϧΛݺͼग़͠ ਖ਼ղσʔλͱൺֱͯ͠ɺͲͷҐͷਫ਼Ͱπʔϧ͕ݺͼग़͞Ε ͔ͨΛςετ
ਫ਼্͕͕ΔΑ͏ʹ%FTDSJQUJPOΛमਖ਼ ʹΔ
ਖ਼ղσʔλͷ࡞ ΫΤϦαϯϓϧ ݺͼग़͞ΕΔ͖ 5PPM܈ͱఆग़ྗ
%FTDSJQUJPO0QTͷϑϩʔ ਖ਼ղσʔλͷೖྗ ॳظͷ%FTDSJQUJPOઃఆ ༩͑ͨ%FTDSJQUJPOΛݩʹπʔϧΛݺͼग़͠ ਖ਼ղσʔλͱൺֱͯ͠ɺͲͷҐͷਫ਼Ͱπʔϧ͕ݺͼग़͞Ε ͔ͨΛςετ
ਫ਼্͕͕ΔΑ͏ʹ%FTDSJQUJPOΛमਖ਼ ʹΔ
ॳظͷ%FTDSJQUJPOઃఆ • ͪΌΜͱֶश͞ΕΔࣄΛ֬ೝ͍ͨ͠ͷͰɺ࠷ॳదͳ༰Λ ೖΕ͓ͯ͘
%FTDSJQUJPO0QTͷϑϩʔ ਖ਼ղσʔλͷೖྗ ॳظͷ%FTDSJQUJPOઃఆ ༩͑ͨ%FTDSJQUJPOΛݩʹπʔϧΛݺͼग़͠ ਖ਼ղσʔλͱൺֱͯ͠ɺͲͷҐͷਫ਼Ͱπʔϧ͕ݺͼग़͞Ε ͔ͨΛςετ
ਫ਼্͕͕ΔΑ͏ʹ%FTDSJQUJPOΛमਖ਼ ʹΔ
मਖ਼ϓϩϯϓτͷ࡞ ݱࡏͷEFTDSJQUJPO ݺΕͨ5PPMͱݺΕͳ ͔ͬͨ5PPMΛ༩͑Δ ग़ྗϑΥʔϚοτΛࢦఆ ϢʔβͷΫΤϦࣗମʹ ༩͖͢ใ
ఆྔධՁ ਖ਼ मਖ਼ճ FQPDI • मਖ਼ʹΑͬͯਫ਼্͕͢Δ͜ͱ֬ೝ • దͳमਖ਼͕ͳ͞Εͣɺ࠷ޙʹਫ਼͕Լ͕ͬͯ͠·͏ࣄ͕͋Δ
ఆੑධՁ • ੜ͞Εͨ%FTDSJQUJPOͱΫΤϦͷՃใ %FTDSJQUJPO Ճใ
ఆੑධՁ • աֶशͯ͠͠·͏ྫʢ͜ͷล.-ͬΆ͍ʣ ˞मਖ਼༻ͷϓϩϯϓτΛ࿔͍ͬͯͨΒ࿉͞Εͨ݁Ռ ֶशσʔλʹؚ·ΕΔΫΤϦ ͱ͑Λ֮͑ͯ͠·ͬͨ
·ͱΊ • --.ͱɺͦΕҎ֎Λͭͳ͛ΔՄೳੑ͕ੌ͍ʂ • ؆୯ʹܨ͕Βͳ͍ɺ൚༻Λࢦ͢΄Ͳੑೳ্͕͕Βͳ͍ • .-ͷཁྖͰɺ%FTDSJQUJPOΛςετɾվળ͢ΔΈΛߟҊ • %FTDSJQUJPO0QTͱݴ͍ͭͭɺ·ͩ0QTͷΈ·Ͱ࡞ͬ ͍ͯͳ͍ͷͰɺࠓޙؤுΓ·͢