✅ レポート採点基準 / How Your Reports Are Assessed

Transcript

1. εέδϡʔϧɺߨٛࢿྉɺϨ ポ ʔτɺ࠾఺ج४ͳͲ RailsνϡʔτϦΞϧɺߨٛ৘ใ·ͱΊ

2. ຊίʔεͰֶ΂Δ͜ͱ Ұॹʹ֬ೝ! (DEMO)

3. ϑϨʔϜϫʔΫ։ൃಛ࿦ lཱͪҐஔͱɺ ֶ΂Δ͜ͱz ♻✨

4. σʔλͰݟΔղઆಈըͱ8FCςΩετͷҧ͍ RailsνϡʔτϦΞϧ × ൓సֶश ౦ژ౎ཱͷେֶӃͰ3VCZ3BJMTߨٛΛ શֶՊ̍Ґ ʹ͢ΔͨΊͷतۀઃܭ ֶੜʹΑΔतۀධՁ ̑఺ຬ఺ୈ̍ΫΥʔλ

   ఺ ఺ ఺ ఺ ఺

5. l՝୊ղܾͰ͖ΔεΩϧͱ ۀ຿਱ߦೳྗΛ਎ʹ͚ͭΔ

6. ϑϨʔϜϫʔΫ։ൃಛ࿦ ίϥϘ։ൃಛ࿦ ← 1#-Ͱ։ൃ͢Δ ← ڞಉͰ։ൃ͢Δ ← ̍ਓͰ։ൃ͢Δ ਎ۙͳ՝୊Λղܾ (PBL)

   (※ ίί͕๻ͷ୲౰)

7. ࢀߟ: ΩϟϦΞΛ࣌ؒɾۭؒ࣠Ͱߟ͑Δ https://speakerdeck.com/kentaro/thinking-about-your-career-from-both-time-and-space-viewpoints “มΘΓʹ͍͘ಛੑΛڧԽ͢Δ” ࢀߟ: AIIT PBL Method - Advanced

   Institute of Industrial Technology https://aiit.ac.jp/education/pbl/

8. AI Λ׆༻͠ɺAI ͱڠௐ͠Α͏ ࢀߟ: ChatGPT Λ૊ΈࠐΜͩ 24 ࣌ؒ TAɿڭҭݱ৔ʹ͓͚Δ LLM

   ׆༻ͷ՝୊ͱվળ https://speakerdeck.com/yasslab/education-and-llm-case-study-of-railstutorial-ai-support

9. AI Λ׆༻͠ɺAI ͱڠௐ͠Α͏ ࢀߟ: PaperBench: Evaluating AI’s Abilities to Replicate

   AI Research - OpenAI https://openai.com/index/paperbench/ ֓ཁ: AI ͸୹ظͰߴ͍ύϑΥʔϚϯεΛൃش͢Δɺਓ͸௕ظͰߴ͍ύϑΥʔϚϯεΛൃش͢Δ ʢͨͩ͠฼਺͕গͳ͘ɺHuman ΋ത࢜՝ఔͷΤΩεύʔτͰ͋Δ఺ͳͲɺҰൠԽͰ͖Δ΄ͲͰ͸ͳ͍ʣ

10. AI Λ׆༻͠ɺAI ͱڠௐ͠Α͏ ࢀߟ: PaperBench: Evaluating AI’s Abilities to Replicate

    AI Research - OpenAI https://openai.com/index/paperbench/ ֓ཁ: AI ͸୹ظͰߴ͍ύϑΥʔϚϯεΛൃش͢Δɺਓ͸௕ظͰߴ͍ύϑΥʔϚϯεΛൃش͢Δ ʢͨͩ͠฼਺͕গͳ͘ɺHuman ΋ത࢜՝ఔͷΤΩεύʔτͰ͋Δ఺ͳͲɺҰൠԽͰ͖Δ΄ͲͰ͸ͳ͍ʣ AI 🤝 Human?

11. ຊίʔεͰֶ΂Δ͜ͱʢ࠶ܝʣ Ұॹʹ֬ೝ! (DEMO)

12. ߨٛεέδϡʔϧͱɺߨٛࢿྉ·ͱΊ Ұॹʹ֬ೝ! (DEMO)

13. तۀܗଶͱ੒੷ͷ෇͚ํ

14. तۀܗଶͱ੒੷ͷ෇͚ํ ※ ৄࡉ͸ʰߨٛࢿྉ·ͱΊʱΛ͝ࢀর͍ͩ͘͞

15. ߨٛΛগͳ͘ɺ࣭໰ରԠΛॏࢹ ࣭໰ରԠ ର໘ߨٛ ࣭໰ରԠ ର໘ߨٛ 2017೥౓·Ͱ 2018೥౓Ҏ߱

16. खΛಈ͔࣌ؒ͢ͷ࠷େԽ ௌ࣌ؒ͘ → ಈ࣌ؒ͘ ෼͔Βͳ͍ → ௐ΂ΒΕΔ ஌͍ͬͯΔ → ಋ͖ग़ͤΔ

17. Ϩϙʔτͷ࠾఺ج४ test ͸ޙͰॻ͘? ઌʹॻ͘? ͳͥ? devise Λ࢖͏? ࢖Θͳ͍? ͳͥ? scaffold

    Λ࢖͏? ࢖Θͳ͍? ͳͥ? Yes/No ͸ͲͪΒͰ΋େৎ෉ʂWhy Λॏࢹ લఏ: ͋ΔϓϩδΣΫτ X ͷ։ൃʹ͓͍ͯ

18. Yes/No ͸ͲͪΒͰ΋ྑ͍ɻWhy Λॏࢹ ΈΜͳ͕ͦ͏ݴ͍ͬͯΔ͔Β ӡ༻ͷίετ͕ߴ͘ͳΔ͔Β Τϥ͍ਓ͕ͦ͏ݴ͔ͬͯͨΒ ͜ͷ࢓༷͸ޙͰมߋ͢Δ͔Β ྫ: νʔϜϝϯόʔΛٕज़తʹઆಘͰ͖Δ͔? 🤔

    💭 ·ͣ͸ࣗ෼ͷओுΛॻ͘ɻʒ੾ޙʹڞ༗ɾٞ࿦

19. Q. ࢓༷͕มΘΔՄೳੑ͸͋Δ? Q. Ͳ͜·Ͱॻ͘? 100%໢ཏ? Q. ԿͰॻ͘? minitest? RSpec? ·ͣ͸ࣗ෼ͷओுΛॻ͘ɻ͋ͱͰڞ༗ͯٞ͠࿦

    ྫ: ͋ͳͨͷϓϩδΣΫτXʹ͓͍ͯ test ͸ޙͰॻ͘? ઌʹॻ͘? ͳͥ? શମͰͷσΟεΧογϣϯ͸ධՁͷର৅֎Ͱ͢ɻ ͱ͸͍͑ࢀՃ͢Δͱૣ͘ߟ͑Δ࿅शʹͳΓ·͢ɻ

20. RailsνϡʔτϦΞϧ × ൓సֶश --.͕ɺ΋ͨΒͨ͠มԽ ɾ ࣭໰ͷ਺͕ ໿ 27 ഒ ʹ૿Ճ

    “༗ਓ” ΑΓ “ແਓ” ͷํ͕࣭໰͠΍͍͢ (?) ɾ Ͳ͏͔᪴͘ɺͲ͏௚͔͢ʁ ֶशऀͷ͖᪴ ≒ ߨٛͷվળ఺ ɾ ԿΛ໰͏͔ɺͳͥ໰͏͔ʁ ઃ໰จʹΑͬͯ͸ “࣭໰͢Δ͚ͩ” ʹͳΔ

21. σʔλͰݟΔղઆಈըͱ8FCςΩετͷҧ͍ RailsνϡʔτϦΞϧ × ൓సֶश "*Λ༻͍ͯ໰୊Λղ͘ͱ͖ɺ ໰୊Λ೉͍͠ͱײ͡·͔ͨ͠ʁ 2 ֶੜʹΑΔ"*ʹର͢ΔධՁ ̏ஈ֊ධՁ̍ϲ݄ؒHQUUVSCP https://bit.ly/learn-to-code-with-chatgpt-raw-data

22. σʔλͰݟΔղઆಈըͱ8FCςΩετͷҧ͍ RailsνϡʔτϦΞϧ × ൓సֶश 2 डߨੜʹΑΔ࢖ͬͯΈͨॴײ ʢҰ෦ൈਮʣ ίϐϖͰ͸ͳ͍͜ͱΛূ໌͢ΔͨΊͷ࿑ྗ ʢճ౴ͷਖ਼͠͞ɺ͔֬Β͠͞ɺग़యͳͲͷௐࠪʣ͕ҙ֎ͱ͕࣌ؒඞཁ l

    l ˠݪҼʮ໰୊ͷճ౴ʹ͸ඞͣग़యΛ໌هͯ͠Լ͍͞ʯ ɹ͍ͬͨΜʮग़యແ͠Ͱ0,ʯʹͯ͠Έͨͱ͜Ζ ܦݧ͕ͳ͔ͬͨͨΊɺ$IBU(15ʹฉ͖·ͨ͠ ʢษڧʹͳΓ·ͨ͠ʣ ˠओʹʮॳΊͯ৮ΕΔτϐοΫʯͰ࢖ΘΕΔ܏޲

23. RailsνϡʔτϦΞϧ × ൓సֶश ࠾఺͕େมʹͳͬͯ͠·ͬͨ

24. RailsνϡʔτϦΞϧ × ൓సֶश ࠾఺͕େมʹͳͬͨཧ༝ͷߟ࡯ ઃ໰ྫɿͳͥ Git ͳͲͷπʔϧͰόʔδϣϯ؅ཧΛ͢Δ͜ͱ͕ଟ͍ʁ ΋͠όʔδϣϯ؅ཧΛ͠ͳ͔ͬͨ৔߹ɺͲ͏ͳΔʁ --.ͷීٴલ --.ͷීٴޙ

    👀 ઃ໰ΛಡΉ 🔍 จݙΛௐ΂Δ 📝 ճ౴Λهೖ͢Δ 👀 ઃ໰ΛಡΉ 🔍 จݙΛௐ΂Δ 📝 ճ౴Λهೖ͢Δ ճ౴͕ ෼͔Βͳ͍ ճ౴͕ ݟ͖͑ͯͨ LLM (AI) ʹ ฉ͍ͯΈΔ ਖ਼͍͔͠ ֬ೝ͢Δ ճ౴Λਫ਼ࠪ͠ దٓमਖ਼͢Δ

25. RailsνϡʔτϦΞϧ × ൓సֶश ࠾఺͕େมʹͳͬͨཧ༝ͷߟ࡯ ઃ໰ྫɿͳͥ Git ͳͲͷπʔϧͰόʔδϣϯ؅ཧΛ͢Δ͜ͱ͕ଟ͍ʁ ΋͠όʔδϣϯ؅ཧΛ͠ͳ͔ͬͨ৔߹ɺͲ͏ͳΔʁ --.ͷීٴޙ 👀

    ઃ໰ΛಡΉ 🔍 จݙΛௐ΂Δ 📝 ճ౴Λهೖ͢Δ LLM (AI) ʹ ฉ͍ͯΈΔ ਖ਼͍͔͠ ֬ೝ͢Δ ճ౴Λਫ਼ࠪ͠ దٓमਖ਼͢Δ

26. RailsνϡʔτϦΞϧ × ൓సֶश ࠾఺͕େมʹͳͬͨཧ༝ͷߟ࡯

27. RailsνϡʔτϦΞϧ × ൓సֶश --.Λߟྀͨ͠࠾఺ج४ͷ໌֬Խ શͯ߹ͬͯͨΒਖ਼౴ ͱͨ͠ ճ౴Λཧղ͠ɺదٓਫ਼ࠪ͠ɺ ϙΠϯτΛߜΓɺमਖ਼͢Δɻ

28. RailsνϡʔτϦΞϧ × ൓సֶश ࠾఺ج४Λݟ௚ͨ͠ प໨ ɾ AI ͷ࢖༻͸Ҿ͖ଓ͖ OK!

    ௨ৗͷ࣭໰΋ɺϨϙʔτ΋ɺظ຤ࢼݧ΋ɻ ɾ ໰୊͸ “ͲΕ͔౰ͨΕ͹...” ̍ͭͷઃ໰ʹɺ̏ʙ̑ͷճ౴Λॻ͖͕ͪɻ ɾ શͯ߹ͬͯͨΒਖ਼౴ͱͨ͠ ֓ཁΛ AI Ͱ௫ΈɺৄࡉΛࣗ෼Ͱਫ਼ࠪ͢Δ

29. RailsνϡʔτϦΞϧ × ൓సֶश ՝୊ఏग़ͷϙΠϯτ प໨ 1. ৘ใΛऩू͢Δ Webݕࡧ΋LLM࣭໰΋ɺੵۃతʹ࢖͓͏ 2.

    ৘ใΛਫ਼ࠪ͢Δ ͦͷ৘ใ͸ɺؒҧ͍ͬͯΔ͔΋͠Εͳ͍ 3. ৘ใʹ੹೚Λ࣋ͭ ͋ͳͨͷճ౴ͷ੹೚͸ɺ͋ͳ͕ͨ࣋ͭ

30. ͓·͚ ʰ࡞Γͳ͕ΒɺֶͿʱ 1SPKFDU#BTFE-FBSOJOH Λ͞Βʹ׆͔ͨ͢Ίͷ--.

31. RailsνϡʔτϦΞϧ × ൓సֶश ஌ͬͯΔਓ͸ଟ͘ ࢖ͬͨਓ͸গͳ͍ ஌ͬͯΔ࢖ͬͨ࡞ͬͨ

    ݄ ݄ /3*೔ຊͷ$IBU(15ར༻ಈ޲ωοτΞϯέʔτௐࠪ ೥݄࣌఺ IUUQTXXXOSJDPNKQLOPXMFEHFSFQPSUMTUDD@ ೝ஌཰ ར༻཰

32. ϑϨʔϜϫʔΫ։ൃಛ࿦ ίϥϘ։ൃಛ࿦ ← 1#-Ͱ։ൃ͢Δ ← ڞಉͰ։ൃ͢Δ ← ̍ਓͰ։ൃ͢Δ ਎ۙͳ՝୊Λղܾ (PBL)

    (※ ίί͕๻ͷ୲౰)

33. ৭ʑͳϓϩμΫτΛ঺հ ϫΫϫΫΛ๲Β·͍ͤͨ

34. খதߴੜΫϦΤʔλ΋։ൃʂ jr.mitou.org/projects/showcase

35. খதߴੜΫϦΤʔλ΋։ൃʂ jr.mitou.org/projects/showcase

36. খதߴੜΫϦΤʔλ΋։ൃʂ jr.mitou.org/projects/showcase

37. ʰ࡞Γͳ͕ΒɺֶͿʱ 1SPKFDU#BTFE-FBSOJOH

38. RailsνϡʔτϦΞϧ × ൓సֶश w ࠓճͷΞϯέʔτ݁Ռʢ3BX%BUB(PPHMF'PSNʣ IUUQTCJUMZMFBSOUPDPEFXJUIDIBUHQUSBXEBUB w (BUFT/PUFT5IF"HFPG"*IBTCFHVO IUUQTXXXHBUFTOPUFTDPN5IF"HFPG"*)BT#FHVO w

    0QFO"*$IBU(15࠲ஊձ:PV5VCF IUUQTXXXZPVUVCFDPNXBUDI WBCO(W(&NXP" w "**5 ϑϨʔϜϫʔΫ։ൃಛ࿦ ʹ͓͚Δࣄྫ IUUQTUXJUUFSDPNZBTVMBCTUBUVT w ੜ੒"*ͷॳ౳த౳ڭҭͰͷΨΠυϥΠϯࡦఆʹ޲͚ͨఏݴ IUUQTQSUJNFTKQNBJOIUNMSEQIUNM w ੜ੒"*ͷྙཧతɾ๏తɾࣾձత՝୊ʢ&-4*ʣ࿦఺ͷ֓؍ IUUQTFMTJPTBLBVBDKQSFTFBSDI w δϣʔδΞ޻Պେɺ5"͕ਓ޻஌ೳͩͬͨ͜ͱʹֶੜͷ୭΋ؾ͔ͮͳ͔ͬͨ IUUQTXXXHJ[NPEPKQQPTU@IUNM ؔ࿈ϦϯΫʢ֓ཁཝ͔Β֤ϦϯΫΛḷΕ·͢ʂʣ

39. RailsνϡʔτϦΞϧ × ൓సֶश w ະ౿δϡχΞখதߴੜΫϦΤʔλࢧԉϓϩάϥϜ IUUQTKSNJUPVPSH fi OBM w 3BJMTνϡʔτϦΞϧϓϩμΫτ։ൃͷˠΛֶ΅͏

    IUUQTSBJMTUVUPSJBMKQ w 3BJMTνϡʔτϦΞϧ"*αϙʔτػೳ IUUQTSBJMTUVUPSJBMKQBJ@TVQQPSU w 3BJMTνϡʔτϦΞϧOPUFϚΨδϯ IUUQTOPUFDPNZBTTMBCNNEEG w :PV5VCFνϟϯωϧ3BJMTνϡʔτϦΞϧ IUUQTZPVUVCFDPN:BTT-BC w :PV5VCFνϟϯωϧ$PEFS%PKP+BQBO IUUQTZPVUVCFDPN$PEFS%PKP+BQBO w :PV5VCFνϟϯωϧະ౿δϡχΞ IUUQTZPVUVCFDPN.JUPV+S ؔ࿈ϦϯΫʢ֓ཁཝ͔Β֤ϦϯΫΛḷΕ·͢ʂʣ

40. εέδϡʔϧɺߨٛࢿྉɺϨ ポ ʔτɺ࠾఺ج४ͳͲ ϑϨʔϜϫʔΫ։ൃಛ࿦ɺߨٛ৘ใ·ͱΊ

41. ॳ೔ͷ໨ඪϦετ (1) ճ౴ޙʹಧ͘ɺট଴ϝʔϧΛ֬ೝ (2) ಈըڭࡐʹΞΫηεͰ͖Δ͔֬ೝ (3) جຊతʹ͸ʰղઆಈըʱͰਐΊͯɺ ؆୯ͦ͏ͳΒʰഒ଎ʱʹͯ͠ΈΔɻ (4) ॳճΞϯέʔτʹճ౴ͯ͠ΈΑ͏

    ࠔͬͨ͜ͱ͕͋Ε͹νϟοτ / ޱ಄Ͱͥͻʂ ͜͜·Ͱग़དྷ͍ͯΔͱɺࠓޙ͕ ‘ͪΐͬͱ’ ָʹͳΓ·͢ɻ

42. ࠓޙͷߨٛͷਐΊํ (1) ՝୊ͷ಺༰ͱʒ੾Λ֬ೝ (2) جຊతʹ͸ʰղઆಈըʱͰਐΊͯ ؆୯ͦ͏ͳΒʰഒ଎ʱʹͯ͠ΈΔ (3) ՝୊Λఏग़͠ɺ՝୊ͷղઆΛฉ͘ (೚ҙ) (4)

    ࣍ͷ՝୊ͷ಺༰ͱʒ੾Λ֬ೝ (1. ʹ໭Δ) ࣭໰ɾ֬ೝɾ૬ஊͳͲ͸νϟοτཝ͔Βؾܰʹͥͻ!! ͩΜͩΜ׳Ε͍ͯ͘ͷͰɺࠓ͸ܰ͘ԡ͓͚͑ͯͩ͘͞Ͱ OK

43. RailsνϡʔτϦΞϧ × ൓సֶश --.Λߟྀͨ͠࠾఺ج४ͷ໌֬Խ શͯ߹ͬͯͨΒਖ਼౴ ͱͨ͠ ճ౴Λཧղ͠ɺదٓਫ਼ࠪ͠ɺ ϙΠϯτΛߜΓɺमਖ਼͢Δɻ RailsνϡʔτϦΞϧ ×

    ൓సֶश ՝୊ఏग़ͷϙΠϯτ ࠶ܝ

44. ɾ AI ͷ࢖༻͸Ҿ͖ଓ͖ OK! ௨ৗͷ࣭໰΋ɺϨϙʔτ΋ɺظ຤ࢼݧ΋ɻ ɾ ໰୊͸ “ͲΕ͔౰ͨΕ͹...” ̍ͭͷઃ໰ʹɺ̏ʙ̑ͷճ౴Λॻ͖͕ͪɻ ɾ

    શͯ߹ͬͯͨΒਖ਼౴ͱͨ͠ ֓ཁΛ AI Ͱ௫ΈɺৄࡉΛࣗ෼Ͱਫ਼ࠪ͢Δ RailsνϡʔτϦΞϧ × ൓సֶश ՝୊ఏग़ͷϙΠϯτ ࠶ܝ

45. RailsνϡʔτϦΞϧ × ൓సֶश ՝୊ఏग़ͷϙΠϯτ ࠶ܝ 1. ৘ใΛऩू͢Δ Webݕࡧ΋LLM࣭໰΋ɺੵۃతʹ࢖͓͏ 2. ৘ใΛਫ਼ࠪ͢Δ

    ͦͷ৘ใ͸ɺؒҧ͍ͬͯΔ͔΋͠Εͳ͍ 3. ৘ใʹ੹೚Λ࣋ͭ ͋ͳͨͷճ౴ͷ੹೚͸ɺ͋ͳ͕ͨ࣋ͭ