Lock in $30 Savings on PRO—Offer Ends Soon! ⏳
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
What if...? 처음부터 다시 LLM 어플리케이션을 개발한다면
Search
Hoon Heo
July 25, 2024
Technology
0
2.5k
What if...? 처음부터 다시 LLM 어플리케이션을 개발한다면
Liner LLM 어플리케이션 개발 배움: Orchestration, Cost Operation, Fine-tuning
Hoon Heo
July 25, 2024
Tweet
Share
More Decks by Hoon Heo
See All by Hoon Heo
LLM 시대의 Compliance: Safety & Security
huffon
0
740
신뢰할 수 있는 AI 검색 엔진을 만들기 위한 Liner의 여정
huffon
0
1.5k
고군분투 LLM 프로덕트 적용기: Blind Prompting 부터 Agent까지
huffon
3
2k
Autonomous Agent in Production
huffon
2
1.2k
Generative UX in LLM Application
huffon
1
1.1k
Other Decks in Technology
See All in Technology
GitLab Duo Agent Platformで実現する“AI駆動・継続的サービス開発”と最新情報のアップデート
jeffi7
0
210
新 Security HubがついにGA!仕組みや料金を深堀り #AWSreInvent #regrowth / AWS Security Hub Advanced GA
masahirokawahara
1
1.3k
因果AIへの招待
sshimizu2006
0
910
AWS Bedrock AgentCoreで作る 1on1支援AIエージェント 〜Memory × Evaluationsによる実践開発〜
yusukeshimizu
5
360
Ruby で作る大規模イベントネットワーク構築・運用支援システム TTDB
taketo1113
1
180
Kubernetes Multi-tenancy: Principles and Practices for Large Scale Internal Platforms
hhiroshell
0
110
Playwrightのソースコードに見る、自動テストを自動で書く技術
yusukeiwaki
13
4.7k
20251209_WAKECareer_生成AIを活用した設計・開発プロセス
syobochim
5
1.3k
手動から自動へ、そしてその先へ
moritamasami
0
280
Reinforcement Fine-tuning 基礎〜実践まで
ch6noota
0
140
Uncertainty in the LLM era - Science, more than scale
gaelvaroquaux
0
780
【pmconf2025】PdMの「責任感」がチームを弱くする?「分業型」から全員がユーザー価値に本気で向き合う「共創型開発チーム」への変遷
toshimasa012345
0
260
Featured
See All Featured
Done Done
chrislema
186
16k
Navigating Team Friction
lara
191
16k
Learning to Love Humans: Emotional Interface Design
aarron
274
41k
Keith and Marios Guide to Fast Websites
keithpitt
413
23k
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
4.1k
Why You Should Never Use an ORM
jnunemaker
PRO
61
9.6k
How to Think Like a Performance Engineer
csswizardry
28
2.4k
Fantastic passwords and where to find them - at NoRuKo
philnash
52
3.5k
Designing Dashboards & Data Visualisations in Web Apps
destraynor
231
54k
Testing 201, or: Great Expectations
jmmastey
46
7.8k
GraphQLとの向き合い方2022年版
quramy
50
14k
Producing Creativity
orderedlist
PRO
348
40k
Transcript
,BSUFS)FP!-JOFS What if…? ࠗఠ द LLM যܻா࣌ਸ ѐߊೠݶ : դ
1֙ р ߓ ӒܻҊ ࢿࣼ೧оח ী ѐߊ ࢤక҅
ݾର 0SDIFTUSBUJPO $PTU0QFSBUJPO 'JOFUVOJOH
Orchestration
Orchestration ݽ؛ࢶఖदੌ߈ੋҊ۰ࢎ೦ ↟$POUFYU-FOHUI ↟1FSGPSNBODF ↟-BUFODZ ↟$PTU ↟3BUFMJNJU ↟4BGFUZ'JMUFS
Orchestration ࢎਊীѱݽ؛ࢶఖӂਸઁҕ೧ঠೡࣻ
Orchestration নೞѱߊࢤೡࣻח࠙ӝ߂'BMMCBDL۽ ↟աѱӟਃٜয৳ਸٸ ܳযڌѱܻೡѪੋо ↟۱ݽ؛3BUFMJNJUীѦܻѱغਸٸ ܳযڌѱܻೡѪੋо ↟ࢿמࠁࣘبա࠺ਊਃೠ҃ ܳযڌѱܻೡѪੋо
↟ࢎਊоਗೞחݽ؛ਸࢶఖೠ҃ ܳযڌѱܻೡѪੋо ↟ਗঋח࢚ടীࢲఠ݂Ѧܽ҃ ܳযڌѱܻೡѪੋо ↟j
Orchestration .PEFM'BNJMZ߹۽߸ࢤࢿ۽ਸ߹ѐҳഅ೧যঠೣ
Orchestration ਬחݽفةੋ4%,ܳഝਊೞҊӝٸޙ 0QFO"*4%, (PPHMF(FNJOJ4%,
Orchestration ೞա4%,ীࢲࢲ۽ܲী۞ীೠ'BMMCBDLਸೠٲೠٲҳഅ೧ঠೣ $POUFYU-FOHUI 4BGFUZ 3BUF-JNJU
Orchestration ীѐߊਸҳਗ೧-JUF--.
Orchestration ాੌػੋఠಕझ۽ࢲ۽ܲݽ؛ഝਊҗ'BMMCBDLоמ
Orchestration ాੌػੋఠಕझ۽ࢲ۽ܲݽ؛ഝਊҗ'BMMCBDLоמ
Orchestration ాੌػੋఠಕझ۽ࢲ۽ܲݽ؛ഝਊҗ'BMMCBDLоמ
Orchestration ઑӘ؊बਸղࠄݶ3PVUF--.ѐ֛өਊ
Orchestration নೞѱߊࢤೡࣻח࠙ӝ߂'BMMCBDL۽ ↟աѱӟਃٜয৳ਸٸ ܳযڌѱܻೡѪੋо ↟۱ݽ؛3BUFMJNJUীѦܻѱغਸٸ ܳযڌѱܻೡѪੋо ↟ࢿמࠁࣘبա࠺ਊਃೠ҃ ܳযڌѱܻೡѪੋо
↟ࢎਊоਗೞחݽ؛ਸࢶఖೠ҃ ܳযڌѱܻೡѪੋо ↟ਗঋח࢚ടীࢲఠ݂Ѧܽ҃ ܳযڌѱܻೡѪੋо ↟j
Orchestration 3PVUF--.औѱ݈೧௪ܻܳۄఠীకਕೠݽ؛۽ࠁղחѐ֛
Orchestration 3PVUF--.ѐ֛ਊਸా೧ࣘب৬࠺ਊ୭ചоמ
Cost Operation
Cost Operation ݆ӝস--.࠺ਊҙܻীয۰ਸѻҊ
Cost Operation ܻӝসѾҴઁಿਸా೧ਮਸٜ݅যյࣻযঠೣ
Cost Operation ࠺ऴоѺഋࢿਵ۽߸ز࠺ࢿѺীоӰѱ࠙ܨغח--.࠺ਊ
Cost Operation ѾҴ--.যܻா࣌--.࠺ਊ୭ചীٮۄӝসਮীೱਸѱؽ
Cost Operation दҙীࢲஹನքױਤ࠺ਊ࠺ীೠхਸղച೧ঠೣ
Cost Operation xyz ࡺ݅ইפۄੌ߹۽যځೠন࢚ਸࠁח ౠহח١بҙஏ
Cost Operation Ѣदҙীࢲੌр࠺ਊࠛযڌѱഋࢿغחبزചా೧ҙஏ
Cost Operation ب۞ೠࣻחযڌѱࢸೞѱغחѦө
Cost Operation ೠݺࢎਊীѱ݃ܳߥযٜੌࣻח҅
Cost Operation ೠݺࢎਊীѱੌрदр࠙рಣӐ݃ܳైೡࣻח҅
Cost Operation ైоמࣻܳઁಿীਊ
Cost Operation ୭Ӕ--.оѺ࠺Үبҳب݆աয়Ҋ
Cost Operation ↟࠺ਊীয--.ীైоמೠࣻળীೠхਸפҊযঠೣ ↟ীӝ߈ೞৈ#VEHFUJOH 3PVUJOH 5ISFTIPME١ਊ ↟ࣘਵ۽ઑղ࠺ਊхпਸ൧ࣻب۾ݽפఠ݂ दпചъച ↟--.ਸೞחઑࢿמ ࠺ਊ
ࣘبࣁਃੋী೧ࢻࣁೞѱӔ ↟ࣁਃੋबਵ۽ઑݾܳࢸೞҊ ୭ചܳਤೠز۱ਸٜ݅যঠೣ
Fine-tuning
Fine-tuning: ࣁ ױ҅۽ ա־য ࠁח LLM যܻா࣌ ߊ ӝ 1IBTF
0QFO"* "OUISPQJD (FNJOJ١ 1SPWJEFSഝਊ೧যܻா࣌ҳഅ 1&'5
Fine-tuning: ࣁ ױ҅۽ ա־য ࠁח LLM যܻா࣌ ߊ ӝ 1IBTF
1IBTF 0QFO"* "OUISPQJD (FNJOJ١ 1SPWJEFSഝਊ೧যܻா࣌ҳഅ 'JSFXPSLT"* 5PHFUIFS"*١ ݽ؛ण߂ࢲࡂۖಬഝਊ 1&'5 1&'5
Fine-tuning: ࣁ ױ҅۽ ա־য ࠁח LLM যܻா࣌ ߊ ӝ 1IBTF
1IBTF 1IBTF 0QFO"* "OUISPQJD (FNJOJ١ 1SPWJEFSഝਊ೧যܻா࣌ҳഅ 'JSFXPSLT"* 5PHFUIFS"*١ ݽ؛ण߂ࢲࡂۖಬഝਊ (16۞झఠഛࠁ೧ ݽ؛ण߂ࢲࡂ୭ച 1&'5 1&'5 1&'5 'VMMQBSBNFUFSUVOJOH 1PTUUSBJOJOH
Fine-tuning: ࣁ ױ҅۽ ա־য ࠁח LLM যܻா࣌ ߊ ӝ 1IBTF
1IBTF 1IBTF 0QFO"* "OUISPQJD (FNJOJ١ 1SPWJEFSഝਊ೧যܻா࣌ҳഅ 'JSFXPSLT"* 5PHFUIFS"*١ ݽ؛ण߂ࢲࡂۖಬഝਊ (16۞झఠഛࠁ೧ ݽ؛ण߂ࢲࡂ୭ച 1&'5 1&'5 1&'5 'VMMQBSBNFUFSUVOJOH 1PTUUSBJOJOH -JOFSחױ҅ীਤ ֙ਘ
Fine-tuning 'JOFUVOJOHਵ۽ֈযоӝ'JOFUVOJOHਸ೧ঠ݅ೞחਬী೧ܳݏ୶যঠೣ
Fine-tuning 'JOFUVOJOHਸా೧--.࠺ਊ୭ചܳܖযյࣻਸ ۽ં࣌ਃ
Fine-tuning 'JOFUVOJOHਸా೧ఋࢎࠁڪযդஹನքٜܳ݅যյࣻਸ ࢿמૐݺਃ
Fine-tuning 'JOFUVOJOHਸా೧ۨߡܻೡࣻח1SPQSJFUBSZؘఠоח झझ۽ঌҊਸѪ
Fine-tuning খҗਸաݶಽҊೞחޙઁীೠоࣻ
Fine-tuning ޙઁо࢚ࣁ ػ۽غঋਵݶण়ڨೞѱൗ۞тࣻ
Fine-tuning റणҗীࢲஏೡࣻחݫܼীೠоਃ
Fine-tuning ాੋݫܼਊয۵ݶ--.BTB+VEHFܳഝਊ೧ࠅࣻ
Fine-tuning ػޙઁ৬ݫܼ ӒܻҊపझؘఠࣇীೠ"4*4ஏ
Fine-tuning णػݽ؛ࢿמҗ"4*4࠺Үೞݴࢿמ ࠺ਊ ࣘبୋب۽ߓನѾ
We are hiring!
Thank you 5IBOLTUP5ZMFS ,BOF ,BJ +VTUJO♥