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Google cloud academy 발표 자료

Sungjoo Ha

May 24, 2022
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  1. AI Company Google Cloud Academy Hyperconnect Director of AI Sungjoo

    Ha May 24th, 2022 Sungjoo Ha 1
  2. AI Company • য়ט੄ ઱ઁ: AI company • ੋఠ֔ ӝࣿਸ

    ੜ ഝਊೠ ӝস਷ internet companyۄ ࠛ۷Ҋ ੉ח ݽ߄ੌ द؀ө૑ ੉য઎׮ • Amazon, Alphabet, Facebook, Alibaba, Tencent, etc. • AI द؀੄ AI companyח ޖ঺੉ ׮ܳө? • ੿׹਷ ݽܰ૑݅ ѐੋ੸ਵ۽ ࢤп೮؍ ݻ о૑ ನੋ౟ী ؀ೠ ࣗѐ Sungjoo Ha 2
  3. ࣳೝށ + ਢࢎ੉౟ ≠ Internet Company Sungjoo Ha 3

  4. Jeff Bezos in 1997 In the book space, there are

    more than three million different books worldwide active and in print at any given time across all languages, so when you have that many items, you can literally build a store online that couldn't exist any other way. Sungjoo Ha 4
  5. Aggregators • Zero marginal cost • ٣૑ణ ই੉మਸ ౸ݒೞחؘী ୶о

    ࠺ਊ੉ ٜ૑ ঋ਺ • Distributionী ࠺ਊ੉ ٜ૑ ঋ਺ • Transactionী ࠺ਊ੉ ٜ૑ ঋ਺ • ੉ܳ ӓೠਵ۽ ഝਊೠ Ѫ੉ ҳӖ੉ա ಕ੉झ࠘җ э਷ super-aggregator • ੋఠ֔ী ઓ੤ೞח Ѫ੉ value proposition਷ ইש • ੋఠ֔੉ ࢜۽੉ ઱ח о஖ܳ ߉ইٜ੉Ҋ ੋఠ֔੉ ইפݶ ࢿ݀ೡ ࣻ হח ࠺ૉפझܳ ݅ٝ Sungjoo Ha 5
  6. Internet-Enabled Technology • Internet द؀੄ ӝࣿ • ੋఠ֔ द؀ী ਢಕ੉૑ח

    ׮ ੓૑݅ ੋఠ֔ਵ۽ ੋ೧ оמ೧૓ ӝࣿਸ ഝਊೞח ӝস਷ ઁೠ੸ • ਬ੷ ೯زী ؀ೠ ࣻ૘ਸ ߄ఔਵ۽ ࢎਊ੗ܳ ੉೧ೞח Ѫ • ೠ ߊ աইоࢲ A/B test ೞח Ѫ • 1֙ী ೠ ف ߣ ߓನೞ؍ Ѫ੉ • Continuous integration, continuous deployment ١ਵ۽ ݒੌݒੌ ߓನ • ӓױ੸ਵ۽ ૣ਷ ੉ఠۨ੉࣌ ࢎ੉௿ਸ ٜ݅যղҊ product-market-fitਸ ଺ӝ ਤ೧ ࡅܰѱ ਑૒੉ח Ѫ੉ оמ೧૗ • ੉ܳ оמாೞח ઑ૒ ҳઑ Sungjoo Ha 6
  7. Learnings From The Past • Internet company੄ ৘द۽ࠗఠ ࢤп೧ࠁח AI

    company • AIо ইפݶ ࢿ݀غ૑ ঋח ࠺ૉפझ • ӝઓী ੹ഃ ࠛоמೞ؍ Ѫ੉ оמ೧૑ח Ѫ • ઑӘ ؊ ևѱ ೧ࢳ೧ࠁݶ AI द؀ী оמ೧૓ ࢜۽਍ ӝࣿਸ ੜ ഝਊೞ ח ഥࢎ Sungjoo Ha 7
  8. Modern ML • അ੤ ؀ࠗ࠙ "AI"ۄ ܻࠛח Ѫ਷ ૑ب೟णী Ӕрਸ

    فҊ ੓਺ • ীࢲ ܳ ઱Ҋ ܳ ଺ח Ѫ • ҃ઁ੸ ࠗоо஖ܳ о੢ ݆੉ ٜ݅য ղח Ѫ਷ ૑ب/੹੉/࠺૑ب/ъച೟ ण੄ ࣽࢲ • п ޙઁب ѾҴ ૑ب೟ण ޙઁ۽ ஖ജೞח ߑߨٜ੉ ߊѼغҊ ੓ਵݴ ੉ ী ٮܲ ࢿҗо աয়ח ઺ Sungjoo Ha 8
  9. Supervised Learning Examples • ੉޷૑ male/female • ੉޷૑ ੹҃/ߓ҃ •

    ೠҴয ৔য • ੉޷૑ ੗োয ࢸݺ • ੗োয ࢸݺ ੉޷૑ • ҟҊ, ਬ੷ ௿ܼ • ݂௼ ௿ܼ Sungjoo Ha 9
  10. Algorithm + Compute + Data • ML ޙઁীࢲ ݏׯڰܻח ف

    о૑ ޙઁ • ݽ؛ ࢿמ੉ ೟णࣇীࢲ ծ਷ ҃਋ • underfitting: ݽ؛ ࣻਊ۱ ૐо • ݽ؛ ࢿמ੉ పझ౟ࣇীࢲ ծ਷ ҃਋ • overfitting: ؘ੉ఠ ୶о • അ؀੄ ML ӝࣿ਷ ݽ؛੄ ࣻਊ۱(capacity)ਸ ޖೠ੿ טܾ ࣻ ੓਺ • ੉ܳ جܻӝ ਤೠ ҅࢑ ੗ਗҗ • ୽࠙ೠ ন੄ ؘ੉ఠ݅ ੓ਵݶ ҅ࣘ ࢿמ੉ જই૗ • 2010֙؀ ୡ߈ ੉੹ীח ੉۠ ѐ֛੉ হ঻ਵݴ ୭Ӕ ٜয ੉۠ ൒ ܴ੉ ؊ ъചغҊ ੓਺ Sungjoo Ha 10
  11. Solvable Problems • അ੤੄ AI ӝࣿ۽ ಽ ࣻ ੓ח ޙઁ

    • ಣߧೠ ࢎۈ੉ 1ୡ ੿ب੄ दрਸ ٜৈࢲ ಽ ࣻ ੓ח ޙઁ • ׮਺ द௫झܳ ৘ஏೞח ޙઁ • ੄ ҳઑܳ ૑צ ݽٚ ޙઁח ੗زചؼ Ѫ Sungjoo Ha 11
  12. AI Strategy • ׮ܲ ೒ۨ੉যٜ਷ যڃ ࢤпਸ ೞҊ ੓ਸө? AI

    ੹ۚ੉ ަө? • ׮ٜ ৈ۞ оמࢿਸ ࠁݶࢲ ߬౴ೞҊ ੓਺ • Google: AI 3ਃࣗܳ ૓੿ೠ ੄޷۽ ݽف ы୶Ҋ ੓ח ݻ উغח ӝস • OpenAI: Ѣ؀ ݽ؛ী ؀ೠ ъೠ ޺਺ਸ ాೠ ௾ ߬౴ • Tesla: അઓೞח ӝࣿਸ ӓೠਵ۽ ഝਊೞח ߡ౭ஸ ా೤ Sungjoo Ha 12
  13. ӝઓഥࢎ + AI/ML/DL ≠ AI Company Sungjoo Ha 13

  14. Zero Marginal Content • AIо ইפݶ ࢿ݀ೡ ࣻ হח ࠺ૉפझח

    ޖ঺ ੌө? • ݻ о૑ ൦౟ח ੓਺ • Zero marginal cost content creation • GPT-3 (copilot), DALL·E 2 • Super-human decision making • AlphaGo, AlphaFold Sungjoo Ha 14
  15. AI-Enabled Technology • ؀ӝসٜ੉ঠ ׮নೠ ߬౴ਸ ೡ ࣻ ੓૑݅ ੘਷

    ഥࢎח যڌѱ? • AI द؀ীח ੋఠ֔ द؀੄ ൒ܴҗ ࠺तೞѱ AI ݽ؛਷ ׮ٜ ࢎਊೡ Ѫ • ৈӝীࢲ ب୹ػ 2ର੸ੋ ѐ֛/ӝࣿ/ޙചܳ ঴݃ա ੜ ഝਊೞջب ઺ਃೠ ನੋ౟о ؼ Ѫ • ݃஖ A/B పझ౟ܳ ೞח ഥࢎ৬ ইצ ഥࢎо ա׊Ҋ • CI/CDܳ ഝਊೞח ഥࢎ৬ ইפפ ഥࢎо ա׊ח Ѫ୊ۢ Sungjoo Ha 15
  16. Learned Business Logic • ࠺ૉפझ ۽૒ -> ݽ؛ Үജ •

    ࠺ૉפझ ۽૒: A ੉ݶ B ੉׮ • ೐۽Ӓېݠٜ੉ ٜ݅যղח ௏٘੄ ݆਷ ࠗ࠙੉ ࠺ૉפझ ۽૒ • ੉ѱ ޤо ׮ؘܲ? ೐۽Ӓېݠо ೞܖݶ ٜ݅؍Ѧ ҡ൤ ML ॄࢲ ೠ׳ Ѧ۰ࢲ ݅٘ח Ѣ ইפঠ? • ࢎۈࠁ׮ ੜ ೡ ࣻ ੓ח ҃਋о ੓਺ • A੉ݶ B੉׮ীࢲ A੄ ઑѤ੉ ցޖցޖ ࠂ੟೮׮ݶ ࢎۈ਷ ޅೣ • Software 2.0 Sungjoo Ha 16
  17. Software Rot • ࠺ૉפझ ۽૒ب ࣗ೐౟ਝযب ॅ਺ • ઱߸ ജ҃੉

    ߄Շӝ ٸޙ • ࢜۽਍ ӝמ੉ ࢤӝҊ, ઁಿਸ ੉Ցয оҊ੗ ೞח ߑೱ੉ ߄ՇҊ, ࢎਊ੗о ߄ՇҊ... Ӓېࢲ ॅ਺ • ࠁా ੉Ѧ যڌѱ ؀਽ೞջ? ࣗ೐౟ਝয ূ૑פযо ௏٘ܳ ࣻ੿ • A੉ݶ B ೮חؘ ੉ઁח A੉ݶ C ೧ঠ ೠ׮ • Ӕؘ ੉ѱ ݽ؛੉঻׮ݶ • ૑ࣘ੸ਵ۽ ؘ੉ఠ ࣻ૘ೞҊ ੉ܳ ߄ఔਵ۽ ݽ؛੉ ঌইࢲ ജ҃ী ؀਽ • ؘ੉ఠ ऺ੉ݶ ࢿמب ੼੼ ؊ જই૕ ࣻ ੓਺ Sungjoo Ha 17
  18. Example • ോܻझ౮ vs ݽ؛ • द੘਷ ࢎۈ੉ ݅ٚ ോܻझ౮੉

    જওਵա ૑ ࣘ੸ਵ۽ ࢿמ ೞۅ • ݽ؛਷ द੘਷ աࡍਵա ૑ࣘ੸ਵ۽ ࢿמ ࢚ थ Sungjoo Ha 18
  19. Ideal • ݽٚ ੄ࢎ Ѿ੿੉ ೙ਃೠ Ҕী ݽ؛ਸ ഝਊ •

    ݽٚ Ѫ੄ ੗زച • ҳӖ੄ ৘द • ௥݂ झாેਸ ز੸ਵ۽ ؀਽ೞѱ ೞৈ ؘ੉ఠࣃఠ੄ պߑ࠺ܳ 40 ಌࣃ౟ ੺ х • ౠ൤ ࠺ૉפझ/೐۽؋౟੄ ઱ਃ ޙઁܳ AI ޙઁ۽ ஖ജೡ ࣻ ੓ਵݶ ߬झ౟ • Ӓ۞ݶ ҅ࣘ೧ࢲ ૑ࣘ੸ਵ۽ ઁಿ੉ ѐࢶغח ҃೷ਸ ೡ ࣻ ੓ਸ Ѫ Sungjoo Ha 19
  20. Easy? • औ֎? No • ML/ঌҊ્ܻ, ҅࢑੗ਗ, ؘ੉ఠ ׮ ы୾ঠ

    ೣ • ׮݅ ॶݽ੓ӝ ਤ೧ ೦࢚ ఠޖפ হ੉ ݆਷ ҅࢑੗ਗҗ ؘ੉ఠо ೙ਃೞ૑ח ঋ਺ • ೡ ࣻח ੓ח ੿ب • Ӓېب ݆ਸࣻ۾ ੉ٙ • ӒܻҊ അ੤੄ ӝࣿ۽ب оמ • ҙ۲ػ ੉ঠӝ ઑӘ ؊ ೧ࠁݶ... Sungjoo Ha 20
  21. ML Model • ೠ੿ػ ؘ੉ఠ۽ જ਷ Ѿҗܳ ঳যղ۰ݶ ݽ؛ ஏݶ੄

    Ҋ޹੉ ݆੉ ೙ਃ • AI ӝࣿ ߊ੹ ࣘبо ޷୛੓਺ • ੉੹ী ղܽ Ѿۿ੉ ࢜۽਍ ӝࣿ੉ աয়ݶࢲ ੤Ҋغযঠ ೞח ҃਋ب ݆਺ • ୭न ӝࣿ زೱਸ ੜ ࢓ಝঠ ೣ • ݽ؛۞ٜ੉ ࣗ೐౟ਝয ূ૑פয݂ب ੜೞח Ѫ਷ ൨ٝ • ݽ؍ೠ ஶప੉ց ӝ߈੄ ূ૑פয݂ী ؀ೠ Ҋ޹ ೙ਃ • ӝࣿ੉ ੗Բ݅ ߄Շযࢲ ࡅܰѱ ٮۄо׮ࠁݶ ߸҃੉ ݆਺ • ഈস ҳઑী ؀ೠ Ҋ޹ ೙ਃ Sungjoo Ha 21
  22. Compute • ௾ ݽ؛ਸ ٜ݅ӝ ਤ೧ ҅࢑ ੗ਗ੉ ೙ਃ •

    ҅࢑ ੗ਗਸ ؘ੉ఠ۽ ߄Բח ҃਋ب ݆਺ • AlphaGo • Data augmentation • ௾ ݽ؛਷ ࢲࡂب য۰਑ Sungjoo Ha 22
  23. MLOps • ؘ੉ఠ ౵੉೐ۄੋ • ૑ࣘ੸ਵ۽ ݽ؛ ೟णೞח ౵੉೐ۄੋ •

    ݽ؛ ࢿמ ੗ز ಣо • ੗ز ݽ؛ ߓನ • Shadow mode Sungjoo Ha 23
  24. Data • ઁಿਸ ా೧ ؘ੉ఠܳ ദٙೡ ࣻ ੓ח ؘ੉ఠ ੹ۚ੉

    ೙ਃ • যڃ ؘ੉ఠܳ যڌѱ ࣻ૘ೡө? • যڌѱ ੿׹ਸ ঳ਸө? • Negative sampling ١ • ഑਷ human-in-the-loop दझమਸ যڌѱ ੜ ਍৔ೡө? • ݽ؛੉ ੜ ೞҊ ੓ח૑ যڌѱ ૑ࣘ੸ਵ۽ ݽפఠ݂ೞ૑? • ా೤ ؘ੉ఠ ਝযೞ਋झ Sungjoo Ha 24
  25. AI PM • ೐۽؋౟੄ ઱ਃ ޙઁܳ AI ޙઁ۽ যڌѱ ஖ജೡ

    ࣻ ੓ਸө? • ੉ܳ ా೧ ࢎਊ੗ٜ੄ ݅઒بо য়ܰҊ ؊ ݆਷ ؘ੉ఠܳ ٜ݅যղҊ ؊ ա਷ ઁಿਵ۽ ੉য૑ח • ੿׹ਸ ঳ӝ ए਍ ҃਋ب ੓Ҋ য۰਍ ҃਋ب ੓Ҋ • AI ӝࣿਸ ੉೧ೞҊ ੉ী ݏ୾ ઁಿਸ э੉ ҳࢿ೧ঠ ೣ • ӝദী ؀ೠ ੄ࢎ ࣗాਸ ਤೠ ࢜۽਍ ঱য/بҳ/೐۽ࣁझ ೙ਃ Sungjoo Ha 25
  26. TikTok • ߑ؀ೠ ন੄ ௑బஎ • ন਷ ૕ਸ ׸ࠁೠ׮ח Ѻ঱ೞী

    ؀ӏݽ ݃ா౴ਸ ాೠ ݽٚ פ஖੄ ൚ࣻ • ࣚऔѱ ௑బஎܳ ٜ݅ ࣻ ੓ب۾ ب৬઱ח ׮নೠ ઁ੘ بҳ ઁҕ • ݺߔೠ ੿׹ਸ ૒੽੸ਵ۽ ঳ਸ ࣻ ੓ח ߑधਵ۽ UIܳ ҳࢿ • ೠ ߣী ೞա੄ ࠺٣য়݅ ࠁݴ ࢎਊ੗੄ swipe ৈࠗ۽ ஂೱਸ ݺߔೞѱ ഛੋ • implicit feedback -> explicit feedback • ৘ஏ ӝ߈੄ ࢎਊ੗ ݽ؛݂ • ױࣽ൤ ੋध(recognition)ীࢲ Ӓ஖ח Ѫ੉ ইפۄ ࢎਊ੗о যڌѱ ೯زೞ৓ח૑ ݺߔೠ ೖ٘ߔਸ ߉ب۾ ҳࢿ Sungjoo Ha 26
  27. Culture • ੌೞח ߑध, ޙചب ઺ਃ • AI ӝദ੗ۄחѱ ই૒

    ઓ੤ೞ૑ח ঋ਺ • Ӓ۞׮ࠁפ э੉ যڌѱ ੌೡ૑ী ؀೧ࢲب Ҋ޹೧ࠊঠ ೣ • ݽٚ ઑ૒/ҳࢿਗ੉ ੉ী ؀ೠ Ӓܿਸ ݠ݁ࣘী ыҊ ӝৈ೧ঠ ೣ • ੄ࢎ Ѿ੿ӂ੗ٜب ੄޷੓ח ࣻળਵ۽ AIী ؀೧ ੉೧೧ঠ • ઑ૒ҳઑب ੉۞ೠ ղਊਸ ߈৔೧ঠ • Conway੄ ߨ஗ Sungjoo Ha 27
  28. Conclusion • AI ӝࣿਸ ా೧ ੹ী ೡ ࣻ হ؍ Ѫਸ

    ೡ ࣻ ੓ח ഥࢎٜ੉ ࢤӡ Ѫ • AI ӝࣿ ੗୓݅ ੜ ഝਊೞח Ѫਵ۽ ੉޷ ର߹ചח оמ • ӝࣿী ؀ೠ ੉೧৬ ઑ૒ ҳઑ ߂ সޖ ߑध ߂ ޙച ١ ׮নೠ ஏݶীࢲ Ҋ۰೧ঠ AI ӝࣿਸ ੜ ഝਊೡ ࣻ ੓਺ • ੄ࢎ Ѿ੿੉ ੉ܖয૑ח ݽٚ Ҕীࢲ ݽ؛੉ ഝਊؼ ৈ૑о ੓਺ • ೐۽؋౟੄ ઺ਃೠ ޙઁܳ AI ޙઁ۽ ஖ജೞݶ ੉࢚੸ • ੉ܳ ߄ఔਵ۽ ML ݽ؛੄ ѐࢶ੉ ೐۽؋౟੄ ѐࢶਵ۽ ੉য૑Ҋ ੉ח ؊ ݆਷ ؘ੉ఠ۽ ੉য ૑ח ࢶࣽജ ҳઑܳ ٜ݅যյ ࣻ ੓਺ Sungjoo Ha 28