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
容器遷移與生成式 AI 應用的趨勢剖析
Search
Browny Lin
May 12, 2024
Technology
0
42
容器遷移與生成式 AI 應用的趨勢剖析
Browny Lin
May 12, 2024
Tweet
Share
More Decks by Browny Lin
See All by Browny Lin
Testing with Concurrency in Go
brownylin
2
330
Dependency Injection in Go
brownylin
3
2.2k
How to build habit-forming products
brownylin
0
160
Introduction to Docker
brownylin
0
1k
Introduction to Hidden Markov Model
brownylin
1
240
Other Decks in Technology
See All in Technology
AWS Lambdaと歩んだ“サーバーレス”と今後 #lambda_10years
yoshidashingo
1
180
TanStack Routerに移行するのかい しないのかい、どっちなんだい! / Are you going to migrate to TanStack Router or not? Which one is it?
kaminashi
0
600
AIチャットボット開発への生成AI活用
ryomrt
0
170
AI前提のサービス運用ってなんだろう?
ryuichi1208
8
1.4k
【Startup CTO of the Year 2024 / Audience Award】アセンド取締役CTO 丹羽健
niwatakeru
0
1.3k
Application Development WG Intro at AppDeveloperCon
salaboy
0
190
データプロダクトの定義からはじめる、データコントラクト駆動なデータ基盤
chanyou0311
2
330
マルチモーダル / AI Agent / LLMOps 3つの技術トレンドで理解するLLMの今後の展望
hirosatogamo
37
12k
ExaDB-D dbaascli で出来ること
oracle4engineer
PRO
0
3.9k
OCI Vault 概要
oracle4engineer
PRO
0
9.7k
20241120_JAWS_東京_ランチタイムLT#17_AWS認定全冠の先へ
tsumita
2
300
100 名超が参加した日経グループ横断の競技型 AWS 学習イベント「Nikkei Group AWS GameDay」の紹介/mediajaws202411
nikkei_engineer_recruiting
1
170
Featured
See All Featured
StorybookのUI Testing Handbookを読んだ
zakiyama
27
5.3k
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
29
2.3k
Automating Front-end Workflow
addyosmani
1366
200k
Imperfection Machines: The Place of Print at Facebook
scottboms
265
13k
Fight the Zombie Pattern Library - RWD Summit 2016
marcelosomers
232
17k
Become a Pro
speakerdeck
PRO
25
5k
Producing Creativity
orderedlist
PRO
341
39k
Optimizing for Happiness
mojombo
376
70k
Bootstrapping a Software Product
garrettdimon
PRO
305
110k
Distributed Sagas: A Protocol for Coordinating Microservices
caitiem20
329
21k
Facilitating Awesome Meetings
lara
50
6.1k
How STYLIGHT went responsive
nonsquared
95
5.2k
Transcript
Taiwan · Singapore · Thailand · Japan · Hong Kong
· Malaysia iKala Confidential and Proprietary 容器遷移與生成式 AI 應用的趨勢剖析 Browny Lin (林士翔) Technical Director, iKala Cloud
Agenda • Trend on Container • Trend on AI, especially
Gen AI • Takeaway
3 Trend on Container
Why use Container? Source: Why use Containers? 1. Runs anywhere
2. Light-weight
Why use Kubernetes? Source: Why use Containers? 1. Container orchestration
2. Declarative
Source: 10 insights on real-world container use
Source: 10 insights on real-world container use
None
Source: 10 insights on real-world container use
Source: 10 insights on real-world container use
Source: 10 insights on real-world container use
None
Source: 10 insights on real-world container use
Source: 10 insights on real-world container use
Recap 1. Serverless 2. GPU/AI workload 3. Utilization 4. Stability
16 Trend on AI, especially Gen AI
Source: IOT ANALYTICS Q2 2023 全世界的企業領導者現在眼中只有生成式 AI
We tend to overestimate the effect of a technology in
the short run and underestimate the effect in the long run - Roy Amara Amara's Law: 短期高估;長期低估 “
Source: https://chat.lmsys.org/
Source: LMSYS Chatbot Arena Leaderboard
Source: HAI AI Index Report 2024 💡AI 在部分任務上的 表現,已經超越人類 無論你最擅長什麼(通常是你最喜歡的),你可能比人
工智慧更好,但無論你不擅長什麼,人工智慧都可以 幫助填補空白。
Source: HAI AI Index Report 2024 💡產業界 > 學術界 的研究量能
Source: HAI AI Index Report 2024 💡基礎模型 訓練成本巨大
Source: HAI AI Index Report 2024 💡AI 不會取代你, 但會用 AI
的人會
Source: Put AI to work for application modernization 💡如何落地: 從
+AI 到 AI+
💡價值創造: ROI 難以計算, 錯過的 風險更大 Source: Now decides next: Getting
real about Generative AI - Deloitte
💡規模化導入: GenAI 工具導入仍低, 風險(資料)和利益仍需權衡 Source: Now decides next: Getting real
about Generative AI - Deloitte
💡AI 賦能: 重新設計工作流程, 改變人才策略 Source: Now decides next: Getting real
about Generative AI - Deloitte
1. 要有好的 AI 策略 必先有好的 數據策略 2. 找出 AI 對自身既有商業模式
能帶來的加值 3. 將 AI 當成電力來規劃事業策 略 企業應如何打造 +AI 策略
30 Takeaway
Source: How to Make AI UX Your Moat 💡AI 不是護城河,
UX (Data) 才是
ChatGPT 震驚了世界不是因為模型而是體驗 • Textbox in, streaming out 模擬了閱讀與聆聽 • Abstracting
state 不需要用戶將先前的問題和答案作為附加狀態傳遞給 新查詢。ChatGPT 提取過去的狀態,以便將來的查詢 可以自然地參照狀態。真正的「聊天」 Source: How to Make AI UX Your Moat
好的體驗需要在互動的每個環節下功夫 💡UX+ • 命令:讓用戶創建任務預設,然後能夠搜尋它們 • 約束:在應用程序中創建自動拉入的用 戶設置 • 背景:簡化數據收集
Customer Assistance: Apply 3P (Present -> Practical -> Powerful) Source:
Zalando to launch a fashion assistant powered by ChatGPT
None
https://ikala.ai +886-2-8768-1110
[email protected]