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
LLM とプロンプトエンジニアリング/チューターをビルドする / LLM and Prompt...
Search
Kenji Saito
PRO
April 15, 2024
Technology
420
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
LLM とプロンプトエンジニアリング/チューターをビルドする / LLM and Prompt Engineering and Building Tutors
早稲田大学大学院経営管理研究科「プロンプトエンジニアリング ─ 生成AIの応用」2024 春の第1-2回で使用したスライドです。
Kenji Saito
PRO
April 15, 2024
More Decks by Kenji Saito
See All by Kenji Saito
ロボティクスの技術 / Robotics Technology
ks91
PRO
0
14
インシデントレスポンス演習 I / Incident Response Exercise I
ks91
PRO
0
22
責任 2.0/3.0 ∼ 知的創造過程の脱領土化 / Responsibility 2.0/3.0 - The Deterritorialization of the Intellectual Creative Process
ks91
PRO
0
9
エージェント化するAI:現在地とその先に起きる変化 〜 おかわり / AI as Agents: The Current State and the Changes Ahead - a second helping
ks91
PRO
0
27
金融テクノロジーのガバナンス / Governance of Financial Technology
ks91
PRO
0
50
セキュリティの基礎とインシデントレスポンス / Security Fundamentals and Incident Response
ks91
PRO
0
87
やり抜く力を見せるエージェントたち / Agents Who Demonstrate Perseverance
ks91
PRO
0
35
ブロックチェーン / Blockchain
ks91
PRO
0
120
デジタルとコミュニケーション / Digital and Communication
ks91
PRO
0
53
Other Decks in Technology
See All in Technology
2026TECHFRESH畢業分享會 - Lightning Talk - 資料也要 CI/CD? 用 Airbyte 自動化資料同步
line_developers_tw
PRO
0
800
白金鉱業Meetup_Vol.24_「AIエージェントは分けるほど良い」は本当か? / Is it true that “the more you divide AI agents, the better”?
brainpadpr
1
300
エラーバジェットのアラートのタイミングを考える.pdf
kairim0
0
120
"何を作るか"を任される エンジニアは、どう育つのか
yutaokafuji
1
600
EventBridge Connection
_kensh
5
690
Building applications in the Gemini API family.
line_developers_tw
PRO
0
3k
2026 TECHFRESH 畢業分享會 - AI-Native 重塑軟體工程與虛擬講師
line_developers_tw
PRO
0
800
2026TECHFRESH畢業分享會 - 葬送的通靈師:化系統與用戶雜訊成行動訊號
line_developers_tw
PRO
0
800
連合学習と機密コンピューティング
lycorptech_jp
PRO
0
100
ルールやカスタム機能、どう活かす?ハンズオンで体感するIBM Bobの出力コントロール
muehara
1
130
Agentic Web
dynamis
1
200
社内 AI エージェント Synapse と セマンティックレイヤーの育て方
hiroakis
2
1.7k
Featured
See All Featured
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
panda_program
122
22k
Digital Ethics as a Driver of Design Innovation
axbom
PRO
1
310
Ethics towards AI in product and experience design
skipperchong
2
310
Collaborative Software Design: How to facilitate domain modelling decisions
baasie
1
250
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
49
10k
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
231
23k
Side Projects
sachag
455
43k
The B2B funnel & how to create a winning content strategy
katarinadahlin
PRO
1
380
Music & Morning Musume
bryan
47
7.2k
The Hidden Cost of Media on the Web [PixelPalooza 2025]
tammyeverts
2
330
Navigating Team Friction
lara
192
16k
The Impact of AI in SEO - AI Overviews June 2024 Edition
aleyda
5
1.1k
Transcript
Generative, Volatile, Uncertain, Complex and Ambiguous — generated by Stable
Diffusion XL v1.0 — AI 2024 1-2 LLM (WBS) 2024 1-2 LLM — 2024-04-15 – p.1/37
https://speakerdeck.com/ks91/collections/prompt-engineering-2024-spring 2024 1-2 LLM — 2024-04-15 – p.2/37
( ) ( ) ( ) CSO (Chief Science Officer)
1993 ( ) 2006 ( ) SFC 23 P2P (Peer-to-Peer) 2011 ( ) 2018 2019 VR 2021.9 & VR 2022.3 2023 AI VR&RPG 2023.5 “Don’t Be So Serious” 2023 2024 AI( ) 2024 “ALOHA FROM HAWAII” → ( ) 2024 1-2 LLM — 2024-04-15 – p.3/37
Dropbox Dropbox ( ) ( ) ( ) 2024 1-2
LLM — 2024-04-15 – p.4/37
LLM ( ) GPTs 2024 1-2 LLM — 2024-04-15 –
p.5/37
(LLM : Large Language Model) AI (AGI : Artificial General
Intelligence) ( . . . ^^;) 2024 1-2 LLM — 2024-04-15 – p.6/37
( ) LLM LLM LLM ⇒ 2024 1-2 LLM —
2024-04-15 – p.7/37
( ) 1 4 15 LLM • 2 4 15
• 3 4 22 I 4 4 22 5 4 29 6 4 29 7 5 13 8 5 13 9 5 20 II 10 5 20 (1) 11 5 27 (2) 12 5 27 (3) 13 6 3 & 14 6 3 & W-IOI 2024 1-2 LLM — 2024-04-15 – p.8/37
( 20 ) 1 • 2 • 3 Discord &
• 4 5 6 RPG 7 “September 12th” 8 9 10 ∼ 11 Linux (Windows )(Mac ) 12 Open Interpreter ∼ 13 14 AGI (Artificial General Intelligence) 7 (5/6 ) / (2 ) OK / 2024 1-2 LLM — 2024-04-15 – p.9/37
. . . . . . ( ) ( 20
×14 ) 2024 1-2 LLM — 2024-04-15 – p.10/37
(2 )(160 ) (10∼20 ) and/or I (60∼80 ) II
(60∼80 ) 2024 1-2 LLM — 2024-04-15 – p.11/37
Moodle ( Q&A ) ( ) Discord ( ) ←
( ) 2024 1-2 LLM — 2024-04-15 – p.12/37
( ) 2024 1-2 LLM — 2024-04-15 – p.13/37
OpenAI GPT-4 (Generative Pretrained Transformer 4) API (Application Programming Interface)
Discord ( ) ( AIC ) /chat GPT-4 GPT ChatGPT (ChatGPT ) Discord GPT-4 GPT-4 ChatGPT Plus 2024 1-2 LLM — 2024-04-15 – p.14/37
Discord web 80 ( ) ( ) 2024 1-2 LLM
— 2024-04-15 – p.15/37
LLM ( ) . . . ( ) 2024 1-2
LLM — 2024-04-15 – p.16/37
B. , , 1968 = ⇒ ( ) ( )
2024 1-2 LLM — 2024-04-15 – p.17/37
: ⇒ = 30 . . . ( ) 30
⇒ + LLM (2023 3 ) + LLM ( ) 2024 1-2 LLM — 2024-04-15 – p.18/37
m P(w1 , . . . , w m )
(Wikipedia) 1 (Wikipedia) : ( ) ← (Generative Pre-training) : ( ) ( ) https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/ 2024 1-2 LLM — 2024-04-15 – p.19/37
ChatGPT GPT ChatGPT GPT OpenAI (GPT-3.5, GPT-4) GPT Generative Pre-trained
Transformer ( ) GPT ( ) GPT-3.5, GPT-4 2024 1-2 LLM — 2024-04-15 – p.20/37
GPT 2024 1-2 LLM — 2024-04-15 – p.21/37
ChatGPT ChatGPT ← LLM LLM → 200 ( ) 2024
1-2 LLM — 2024-04-15 – p.22/37
GPT 2024 1-2 LLM — 2024-04-15 – p.23/37
( ) GPT 3 1. (GPT ) 2. ( )
3. ( ) 3 (↑ 3. ) 3. (GPT ) 2024 1-2 LLM — 2024-04-15 – p.24/37
GPTs ( ) 2024 1-2 LLM — 2024-04-15 – p.25/37
GPTs ʂ (GPT) ChatGPT 2024 1-2 LLM — 2024-04-15 –
p.26/37
GPT Ζ͏ͥ + GPT 2024 1-2 LLM — 2024-04-15 –
p.27/37
ͬͪ͜ͰϏϧμʔͱର͠ͳ͕Β ৽͍͠ (15 ΛΕ·͢ ͬͪ͜Ͱ৽͍͠ (15 Λࢼͤ·͢ ͲΜͳϓϩϯϓτʹͳ͍ͬͯΔ͔ΛݟͨΓ ࡉ͔͘मਖ਼ͨ͠Γઃఆͨ͠ΓͰ͖·͢ GPT
2024 1-2 LLM — 2024-04-15 – p.28/37
( ) GPT 3 1. (GPT ) 2. ( )
3. ( ) 3 (↑ 3. ) 3. (GPT ) 2024 1-2 LLM — 2024-04-15 – p.29/37
NEO NEO (CC-BY-SA 3.0) ( ) 2024 1-2 LLM —
2024-04-15 – p.30/37
( ) Ϗϧμʔͱ͢ εϨου ૬ஊ͢Δ ର͢Δ ͪΐͬͱ ҧ͏ͳ ςΩετνϟϯωϧ ͔Β
%JTDPSE͔Βίϐʔͨ͠ ༰ΛϝϞாͰ ฤूͯ͠ ίϐϖ͢Δͱ Α͍͔ ˣ ߋ৽εϨου͔Β ςΩετνϟϯωϧ ͔Β ςΩετνϟϯωϧ ͔Β Α͠ࢼͯ͠ΈΑ͏ ॳճDIBU DIBU ॳճ CVJME ߋ৽ VQEBUF આ໌ ࢦࣔΛ ೖྗ͢Δ ΞγελϯτΛ࡞Γ ߋ৽͢ΔεϨου ΞγελϯτΛ ࢼ͢εϨου 2024 1-2 LLM — 2024-04-15 – p.31/37
4 Discord Discord & 2024 1-2 LLM — 2024-04-15 –
p.32/37
GPT-Discord Bot System ϝϯόʔ͕ॴଐ͢Δ৫ ϝϯόʔ େنݴޠϞσϧ (155VSCP ࢲͨͪͷ νʔϜ͕։ൃ εϨου
ࢲ ࢲͨ ͨͪ ͪ νϟοταʔϏε %JTDPSE ϫʔΫεϖʔε %JTDPSE αʔόʔ PE νϟοτϘοτ HQUEJTDPSECPU ৗ࣌Քಇɾৗ࣌ଓͷ ԿΒ͔ͷϚγϯ ƅ˜ƅ ů ։࢝ Ξγελϯτ "1* εϥογϡίϚϯυ ᶃ ᶄ ᶅ ᶆ ᶇ ίϚϯυʹΑΔ੍ޚ Ξγελϯτͱͯ͠ର ಡΈग़͠ɾॻ͖ࠐΈ ର ର ର ର ʲΞγελϯτ "1*ʳ ɾΞγελϯτͷੜ $ ɾऔಘ 3 ɾߋ৽ 6 ɾআ % ɾ 0QFO"* εϨουͷੜɾॻ͖ࠐΈ ϝϯόʔɺίϚϯυΛ௨ͯ͠ ʮϏϧμʔΞγελϯτʯͱର͠ͳ͕Β νϡʔλʔ Ξγελϯτ Λੜͨ͠Γɺ ੜࡁͷνϡʔλʔΛमਖ਼ͨ͠Γɺ νϡʔλʔΛݺͼग़ͯ͠ରͰ͖·͢ɻ ʲίϚϯυҰཡʳ CVJME DIBU EFMFUF MJTU TIPX VQEBUF ʜΞγελϯτΛੜ ʜΞγελϯτͱର։࢝ ʜΞγελϯτΛআ ʜΞγελϯτҰཡ ʜΞγελϯτΛදࣔ ʜΞγελϯτΛमਖ਼ GPTs × ⇒ 2024 1-2 LLM — 2024-04-15 – p.33/37
code interpreter FILES ( OK) ( ) 2024 1-2 LLM
— 2024-04-15 – p.34/37
2024 1-2 LLM — 2024-04-15 – p.35/37
1. (1) AI (2) 2024 4 18 ( ) 23:59
JST ( ) Waseda Moodle 2024 1-2 LLM — 2024-04-15 – p.36/37
2024 1-2 LLM — 2024-04-15 – p.37/37