AI Company

Google cloud academy 발표 자료

Transcript

1. AI Company
   Google Cloud Academy
   Hyperconnect
   Director of AI
   Sungjoo Ha
   May 24th, 2022
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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
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3. ࣳೝށ + ਢࢎ੉౟
   ≠ Internet Company
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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.
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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 ݅ٝ
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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
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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
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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 ઺
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9. Supervised Learning Examples
   • ੉޷૑ male/female
   • ੉޷૑ ੹҃/ߓ҃
   • ೠҴয ৔য
   • ੉޷૑ ੗োয ࢸݺ
   • ੗োয ࢸݺ ੉޷૑
   • ҟҊ, ਬ੷ ௿ܼ
   • ݂௼ ௿ܼ
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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 ੓਺
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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
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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 ా೤
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13. ӝઓഥࢎ + AI/ML/DL
    ≠ AI Company
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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
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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୊ۢ
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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
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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૕ ࣻ ੓਺
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18. Example
    • ോܻझ౮ vs ݽ؛
    • द੘਷ ࢎۈ੉ ݅ٚ ോܻझ౮੉ જওਵա ૑
    ࣘ੸ਵ۽ ࢿמ ೞۅ
    • ݽ؛਷ द੘਷ աࡍਵա ૑ࣘ੸ਵ۽ ࢿמ ࢚
    थ
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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
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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...
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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޹ ೙ਃ
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22. Compute
    • ௾ ݽ؛ਸ ٜ݅ӝ ਤ೧ ҅࢑ ੗ਗ੉ ೙ਃ
    • ҅࢑ ੗ਗਸ ؘ੉ఠ۽ ߄Բח ҃਋ب ݆਺
    • AlphaGo
    • Data augmentation
    • ௾ ݽ؛਷ ࢲࡂب য۰਑
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23. MLOps
    • ؘ੉ఠ ౵੉೐ۄੋ
    • ૑ࣘ੸ਵ۽ ݽ؛ ೟णೞח ౵੉೐ۄੋ
    • ݽ؛ ࢿמ ੗ز ಣо
    • ੗ز ݽ؛ ߓನ
    • Shadow mode
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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
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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 ೙ਃ
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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
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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஗
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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 ࣻ ੓਺
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