Intelligence agencies:

🇺🇸 United States → CIA
🇮🇱 Israel → Mossad
🇷🇺 Russia → SVR
🇬🇧 United Kingdom → MI6
🇮🇳 India → RAW
🇦🇺 Australia → ASIO
🇵🇰 Pakistan → ISI
🇩🇪 Germany → BND
🇫🇷 France → DGSE
🇨🇦 Canada → CSIS
🇨🇳 China → MSS
🇿🇦 South Africa → NIA
🇮🇹 Italy → AISE
🇸🇪 Sweden → SÄPO
🇳🇴 Norway → NIS
🇰🇷 South Korea → NIS
🇧🇷 Brazil → ABIN
🇳🇬 Nigeria → NIA
🇪🇸 Spain → CNI
🇺🇦 Ukraine → FISU
🇵🇱 Poland → AW
🇳🇱 Netherlands → AIVD
🇮🇩 Indonesia → BIN
🇦🇷 Argentina → AFI
🇹🇷 Turkey → MIT
🇲🇽 Mexico → CNI

🇪🇹Ethiopia → INSA

Space agencies of the world:
🇨🇦 Canadian Space Agency
🇰🇷 Korea Aerospace Research Institute
🇩🇪 German Aerospace Center (DLR)
🇮🇹 Italian Space Agency (ASI)
🇫🇷 National Centre for Space Studies
🇯🇵 Japan Aerospace Exploration Agency (JAXA)
🇮🇳 Indian Space Research Organisation (ISRO)
🇺🇸 SpaceX (private)
🇷🇺 Russian Federal Space Agency (Roscosmos)
🇪🇺 European Space Agency (ESA)
🇨🇳 China National Space Administration (CNSA)
🇺🇸 National Aeronautics and Space Administration (NASA)
🇪🇹 Ethiopian Space Science Agency (ESSA)

Individuals using the Internet (% of population):

🇪🇷 Eritrea: 1
🇸🇴 Somalia: 2
🇺🇬 Uganda: 6
🇸🇸 South Sudan: 7
🇳🇪 Niger: 10
🇪🇹 Ethiopia: 17
🇧🇩 Bangladesh: 25
🇵🇰 Pakistan: 25
🇰🇪 Kenya: 30
🇳🇬 Nigeria: 36
🇮🇳 India: 43
🇻🇪 Venezuela: 62
🇮🇩 Indonesia: 62
🇫🇯 Fiji: 69
🇿🇦 South Africa: 70
🇪🇬 Egypt: 72
🇲🇽 Mexico: 72
🇨🇳 China: 73
🇮🇹 Italy: 75
🇮🇷 Iran: 79
🇧🇷 Brazil: 81
🇹🇷 Turkey: 81
🇫🇷 France: 86
🇦🇷 Argentina: 87
🇷🇺 Russia: 88
🇦🇺 Australia: 90
🇯🇵 Japan: 90
🇺🇸 USA: 91
🇩🇪 Germany: 91
🇨🇦 Canada: 92
🇦🇹 Austria: 93
🇫🇮 Finland: 93
🇪🇸 Spain: 94
🇬🇧 UK: 95
🇨🇭 Switzerland: 96
🇰🇷 South Korea: 98
🇩🇰 Denmark: 99
🇳🇴 Norway: 99
🇮🇸 Iceland: 100
🇦🇪 UAE: 100
🇸🇦 Saudi Arabia: 100

🌎 World: 60

Age when they became billionaires:

🇺🇸 Mark Zuckerberg: 23
🇺🇸 Evan Spiegel: 25
🇺🇸 Larry Page: 30
🇺🇸 Sergey Brin: 31
🇺🇸 Bill Gates: 31
🇧🇧 Rihanna: 33
🇺🇸 Tiger Woods: 33
🇺🇸 Jeff Bezos: 35
🇺🇸 LeBron James: 37
🇺🇸 Steve Ballmer: 38
🇬🇧 J.K. Rowling: 38
🇺🇸 Mark Cuban: 40
🇺🇸 Elon Musk: 41
🇬🇧 Sir Richard Branson: 41
🇺🇸 Meg Whitman: 42
🇺🇸 Sheryl Sandberg: 44
🇺🇸 Jim Walton: 44
🇨🇳 Jack Ma: 45
🇮🇳 Gautam Adani: 46
🇫🇷 Bernard Arnault: 48
🇺🇸 Larry Ellison : 49
🇺🇸 Oprah Winfrey: 49
🇲🇽 Carlos Slim: 51
🇺🇸 Michael Jordan: 51
🇺🇸 Michael Bloomberg: 52
🇺🇸 George Lucas: 52
🇺🇸 Warren Buffett: 56

Companies ranked by number of employees:

1. 🇺🇸 Walmart: 2,100,000
2. 🇺🇸 Amazon: 1,541,000
3. 🇹🇼 Foxconn: 826,608
4. 🇮🇪 Accenture: 732,000
5. 🇩🇪 Volkswagen: 676,915
6. 🇮🇳 Tata Consultancy: 616,171
7. 🇩🇪 Deutsche Post: 583,816
8. 🇨🇳 BYD: 570,100
9. 🇺🇸 FedEx: 530,000
10. 🇺🇸 United Parcel Service: 500,000
11. 🇺🇸 Kroger: 500,000
12. 🇺🇸 Home Depot: 500,000
13. 🇷🇺 Gazprom: 468,000
14. 🇨🇳 Agricultural Bank: 452,258
15. 🇨🇳 Jingdong Mall: 450,679
16. 🇨🇳 China Mobil: 449,934
17. 🇺🇸 Target: 440,000
18. 🇨🇳 ICBC: 425,000
19. 🇫🇷 Teleperformance: 420,000
20. 🇳🇱 Ahold Delhaize: 413,000
21. 🇫🇷 Sodexo: 412,000
22. 🇺🇸 Starbucks: 402,000
23. 🇭🇰 Jardine Matheson: 400,000
24. 🇨🇳 Yum China: 400,000
25. 🇺🇸 UnitedHealth: 400,000
.
26. 🇨🇳 PetroChina: 398,440
31. 🇯🇵 Toyota: 375,396
37. 🇺🇸 Cognizant: 351,500
41. 🇬🇧 Tesco: 330,000
46. 🇩🇪 Siemens: 316,000
48. 🇺🇸 PepsiCo: 315,000
52. 🇺🇸 Costco: 304,000
54. 🇮🇳 Infosys: 300,000
57. 🇺🇸 IBM: 288,300
61. 🇨🇭 Nestle: 275,000
64. 🇩🇰 ISS: 270,310
67. 🇮🇳 Mahindra: 260,000
68. 🇧🇷 JBS: 260,000
75. 🇯🇵 Panasonic: 241,423
79. 🇮🇳 Reliance Industries: 236,334
83. 🇲🇽 Walmex: 229,133
84. 🇬🇧 HSBC: 219,697
85. 🇨🇦 George Weston: 215,298
87. 🇺🇸 Microsoft: 221,000
101. 🇯🇵 Honda: 197,039
103. 🇺🇸 Alphabet (Google): 190,711
108. 🇯🇵 Canon: 184,034
111. 🇨🇳 China Railway Group: 180,000
115. 🇺🇸 Ford: 173,000
123. 🇩🇪 Mercedes-Benz: 169,335
132: 🇺🇸 Apple: 164,000
142. 🇫🇷 LVMH: 157,953
144. 🇺🇸 Boeing: 156,000
152. 🇩🇪 BMW: 149,475
163. 🇺🇸 Dell: 133,000
178. 🇺🇸 Tesla: 127,855
209. 🇯🇵 Sony: 113,000
220. 🇸🇪 H&M: 106,522
229. 🇩🇪 SAP: 105,132
248. 🇨🇭 Novartis: 101,703
259. 🇺🇸 McDonald: 100,000
325. 🇺🇸 Cisco: 83,300

Average age people lose their virginity:

🇲🇾 Malaysia: 23
🇮🇳 India: 22.9
🇸🇬 Singapore: 22.8
🇨🇳 China: 22.1
🇹🇭 Thailand: 20.5
🇭🇰 Hong Kong: 20.2
🇻🇳 Vietnam: 19.7
🇳🇬 Nigeria: 19.7
🇯🇵 Japan: 19.4
🇪🇸 Spain: 19.2
🇮🇩 Indonesia: 19.1
🇵🇱 Poland: 19
🇮🇹 Italy: 18.9
🇹🇼 Taiwan: 18.9
🇷🇺 Russia: 18.7
🇲🇽 Mexico: 18.7
🇿🇦 South Africa: 18.7
🇫🇷 France: 18.5
🇬🇧 United Kingdom: 18.3
🇨🇭 Switzerland: 18.2
🇨🇦 Canada: 18.1
🇳🇱 Netherlands: 18.1
🇬🇷 Greece: 18.1
🇺🇸 United States: 18
🇦🇺 Australia: 17.9
🇹🇷 Turkey: 17.8
🇳🇿 New Zealand: 17.8
🇸🇰 Slovakia: 17.8
🇩🇪 Germany: 17.6
🇧🇷 Brazil: 17.4
🇮🇪 Ireland: 17.3
🇭🇷 Croatia: 17.3
🇦🇹 Austria: 17.3
🇨🇿 Czech Republic: 17.2
🇨🇱 Chile: 17.2
🇧🇪 Belgium: 17.2
🇵🇹 Portugal: 16.9
🇧🇬 Bulgaria: 16.9
🇮🇱 Israel: 16.7
🇫🇮 Finland: 16.5
🇳🇴 Norway: 16.5
🇸🇪 Sweden: 16.2
🇩🇰 Denmark: 16.1
🇮🇸 Iceland: 15.6


Guess Ethiopians ....?

World's richest people:

🇺🇸 Elon Musk: $242b
🇫🇷 Bernard Arnault: $198b
🇺🇸 Jeff Bezos: $157b
🇺🇸 Bill Gates: $136b
🇺🇸 Larry Ellison: $131b
🇺🇸 Larry Page: $120b
🇺🇸 Mark Zuckerberg: $118b
🇺🇸 Warren Buffet: $118b
🇺🇸 Steve Ballmer: $118b
🇺🇸 Sergey Brin: $114b
🇲🇽 Carlos Slim: $98.9b
🇮🇳 Mukesh Ambani: $96.3b
🇫🇷 Francoise Bettencourt Meyers: $93.1b
🇪🇸 Amancio Ortega: $77.7b
🇺🇸 Jim Walton: $72.9b
🇺🇸 Rob Walton: $70.9b
🇺🇸 Alice Walton: $69.8b
🇨🇳 Zhong Shanshan: $66.4b
🇮🇳 Gautam Adani: $63.4b
🇺🇸 Charles Koch: $63.3b
🇺🇸 Julia Flesher Koch: $63.3b
🇺🇸 Michael Dell: $61.3b
🇺🇸 John Mars: $58.0b

Largest companies by market cap:

🇺🇸 Apple: $3.045 trillion
🇺🇸 Microsoft: $2.609 trillion
🇸🇦 Saudi Aramco: $2.08 trillion
🇺🇸 Alphabet: $1.556 trillion
🇺🇸 Amazon: $1.324 trillion
🇺🇸 NVIDIA: $1.128 trillion
🇺🇸 Tesla: $840 billion
🇺🇸 Berkshire: $759 billion
🇺🇸 Meta: $754 billion
🇹🇼 TSMC: $520 billion
🇺🇸 Visa: $499 billion
🇺🇸 UnitedHealth: $475 billion
🇺🇸 JPMorgan Chase: $455 billion
🇫🇷 LVMH: $455 billion
🇺🇸 Johnson & Johnson: $447 billion
🇺🇸 Eli Lilly: $434 billion
🇺🇸 Walmart: $428 billion
🇺🇸 Exxon Mobil: $427 billion
🇨🇳 Tencent: $417 billion
🇺🇸 Mastercard: $380 billion
🇺🇸 Broadcom: $378 billion
🇩🇰 Novo Nordisk: $367 billions
🇰🇷 Samsung: $364 billion
🇺🇸 Procter & Gamble: $362 billion
🇺🇸 Home Depot: $326 billion
🇨🇭 Nestle: $322 billion
🇨🇳 Kweichow Moutai: $321 billion
🇺🇸 Oracle: $320 billion
🇺🇸 Chevron: $303 billion
🇳🇱 ASML: $292 billion
🇺🇸 Merck: $272 billion
🇺🇸 Coca-Cola: $269 billion
🇺🇸 PepsiCo: $263 billion
🇺🇸 Bank of America: $255 billion
🇨🇭 Roche: $253 billion
🇺🇸 Costco: $250 billion
🇺🇸 AbbVie: $249 billion
🇫🇷 L’Oréal: $245 billion
🇨🇳 Alibaba: $243 billion
🇺🇸 Adobe: $239 billion
🇦🇪 IHC: $235 billion
🇯🇵 Toyota: $225 billion
🇨🇭 Novartis: $222 billion
🇺🇸 Thermo Fisher Scientific: $220 billion
🇺🇸 Salesforce: $220 billion
🇫🇷 Hermès: $218 billion
🇺🇸 Cisco: $218 billion
🇬🇧 AstraZeneca: $214 billion
🇺🇸 McDonald: $213 billion
🇨🇳 ICBC: $211 billion
🇬🇧 Shell: $211 billion
🇮🇳 Reliance Industries: $211 billion
🇺🇸 Pfizer: $209 billion

Network Request In JavaScript

👉 Ajax/ xmlHttpRequest
👉 Fetch API
👉 Axios / 3rd party ways

and more on ...

✅ HTTP
✅ HTTP Methods
✅ URL
✅ API
✅ JSON
✅ XML

..... and many more has been discussed...

let's dive in to the video...

https://youtu.be/VG1ZvXOhcFo

Don't miss the fight 💪

Write code everyday 👩‍💻
Write code everyday 🧑🏻‍💻
Write code everyday 👩‍💻
Write code everyday 🧑🏻‍💻
Write code everyday 👩‍💻
Write code everyday 🧑🏻‍💻
Write code everyday 👩‍💻
Write code everyday 🧑🏻‍💻
Write code everyday 👩‍💻

the temptation is real 😂😁

9 FREE #GenerativeAI Courses from Google👇

1. Introduction to Generative #AI:
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2. Introduction to #LLMs Large Language Models:
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3. Introduction to Responsible AI:
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4. Introduction to Image Generation:
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5. Encoder-Decoder Architecture:
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6. Attention Mechanism:
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7. Transformer Models and BERT Model:
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8. Create Image Captioning Models:
https://lnkd.in/gnb83AXy

9. Introduction to Generative AI Studio:
https://lnkd.in/gc7sPExG

When your code works on the first try... It's a trap! 😅

የዚህኛው አመት የ አርቲፊሻል ቦቶች በ ብዛት ጥቅም ላይ የዋለበት ነው። እነዚህ ቦቶች እንደ አሸን እየፈሉ ብዙ ነገሮችን/ስራዎችን እያቀለሉ ይገኛሉ። ብዙዎችን በነፃ መጠቀም እንችላለን።
✅chatGPT | Open Ai
✅ Bard Ai. | Google
✅ Claude
...... እና የመሳሰሉት ከጀርባቸው ትልልቅ የ LLM( Large Language model ) አላቸው። ሞደሎቹም፡
✅ GPT 3.5
✅GPT 4
✅PALM 2
✅Claude
✅Falcon
✅LLaMA እና ሌሎችም ብዙዎች ናቸው።
ከነዚህ ቦቶች በተጨማሪ ሌሎችም በ አሪፍ Ui የተሰሩ እና የላይኞችን API በመጠቀም የተሰሩ ብዙ አሉ። ከነዚህም ፡
✅forefront ai
✅poe ai
✅ perplexity ai
✅ chatpdf
✅ chat org
✅hugging face
✅ you . com
✅ bing chat
✅ merlin ai
✅ max ai
✅ wnr ai
✅ anonachatgpt
እና ሌሎችም ብዙ አሉ።
ዋናው ነገር እነዚህን ነገሮች እየተጠቀማችሁባቸው ነው ወይ ???... እነዚህ ነገሮች እኮ ማለት
👉 መማር ብትፈልጉ በ ሁሉም ፌልድ እንደ ፕሮፌሽናል መምህር ሆነው የሚያስተምሯችሁ!
👉ማማከር ብትፈልጉ እንደ ፕሮፌሽናል አማካሪ በሁሉም መስክ(ጤና ፤ ቢዝነስ፤ ህይዎት .. ) ሆነው የሚያማክሯችሁ።
👉በ ስራ ላይ እንደ አጋዥ ብታደርጓቸው በሚገርም ሁኔታ እንደ ሲኔር ሆነው ስራዎቻችሁን የሚያቀላጥፉላችሁ።
👉መረጃዎችን በ ፍጥነት ያለ ልፋት የሚግቷችሁ
👉 የተለያዩ ፅሁፎችን በመፃፍ ፤ ኮንቴንት ጀነሬት በማድረግ የሚያግዟችሁ( ለ ብሎግ፤ ሶሻል ሚድያ ኮንቴንት ፤ ለ መፅሃፍ፤ ሪሰርች .... )
... እና ብዙ ብዙ ነገሮችን ።
እና ቤተሰብ ሆይ እንማራቸው!.. አጠቃቀማቸውን እንወቅ ፤ እንጠቀም።
ለማንኛውም በዚህ ጉዳይ ላይ ከ 15 በላይ ቦቶች እንደት እንደምትጠቀሙ Emmersive Learning / ኢመርሲቭ ዩቱብ ቻናል ላይ በደንብ ተዘጋጅቶ ተቀምጦላችኋል። ገብታችሁም መማር ትችላላችሁ።
በዚህ ጉዳይ ላይ እመለሳለው።

Stacks for Full-Stack Development:

FE Languages
⬩HTML, CSS
⬩JavaScript, TypeScript

FE Frameworks
⬩Tailwind / Bootstrap / Bulma
⬩React / Angular / Vue / Svelte
⬩Next.js / Nuxt / SvelteKit

BE Languages
⬩Java / Python / PHP
⬩C# / Go / JavaScript

BE Frameworks
⬩Node.js / Express / Nest
⬩Django / Flask
⬩Laravel / Symfony
⬩Spring / Vaadin

Mobile Languages
⬩Swift / Kotlin / Dart / JavaScript

Mobile Frameworks
⬩Swift UI / Kotlin Jetpack
⬩Flutter / React Native

SQL Database
⬩MySQL / PostgreSQL / SQL Server
⬩DynamoDB / CockroachDB
⬩Snowflake

NoSQL Database
⬩MongoDB / RealtimeDB / Cassandra
⬩Redis / Neo4j

SQL/NoSQL Frameworks
⬩Hibernate / Sequelize

API Frameworks
⬩Express / Hapi / Loopback
⬩Flask / FastAPI
⬩Apollo GraphQL / Hasura

Headless CMS
⬩WordPress / Contentful / Sanity
⬩Storyblok / Ghost / Strapi

Code Repo
⬩GitHub / GitLab / BitBucket

Cloud
⬩AWS / Azure / GCP
⬩Vercel / Netlify

Automation Testing
⬩Selenium / Cypress
⬩Puppeteer / Playwright

DevOps
⬩GitHub Actions / GitLab CI/CD
⬩CircleCI / TravisCI / Jenkins
⬩Ansible / Chef / Puppet

Containers
⬩Docker

Orchestration
⬩Kubernetes / Docker Swarm / OpenShift

Integrations
⬩Kafka / Stripe / SendGrid
⬩Slack / Discord

Learn Web Development for free:

1. HTML
http://w3schools.com

2. CSS
http://css-tricks.com

3. JavaScript
http://javanoscript.info

4. Git
http://git-scm.com

5. React
http://react-tutorial.app

6. APIs
https://rapidapi.com

7. ALL
http://ai.com

——- continued—-
—-Prompt Engineering"——
...ባለፈው ስለ Ai ቦቶች እና ሞደሎች ትንሽ አውርተን ነበር። ይሄም ከዚያ የ ቀጠለ ነው።
ማሳሰቢያ ፡ ይሄ ትምህርት ቻት ቦቶችን ለሚጠቀሙ እንዲረዳ የተዘጋጀ ነው
ዛሬ ማወራችሁ ስለ "Prompt Engineering", ነው ። ይሄ ፊልድ ከነዚህ ቻት ቦቶች መምጣት ጋር የተወለድ አድስ የሙያ ዘርፍ ነው።
በ አጭር ጊዜም ተፈላጊ የሆነ ክህሎት ነው። ዛሬን ጀምሮ በሚቀጥሉት ቀናት አንዳንድ ከሱ ጋር የተያያዙ ቴክኒኮችን አጋራችኋለው።
"Prompt Engineering" ማለት ከ "LLM" ቻት ቦቶች ጋር ስታወሩ text-to-text ወይም text-to-image ሊሆን ይችላል። ያ ማለት የሆነ መጠየቅ ምትፈልጉትን በ ፅሁፍ መልክ ትሰጡታላችሁ እሱ በ ፅሁፍ ወይም በ ምስል መልክ ጀነሬት አድርጎ ይመልስላችኋል።
እነዚህ እናንተ የምታስገቧቸው መጠይቆች ወይም ፅሁፎች "Prompt" ይባላሉ።
እነዚህን "Prompt" ማግኘት ለምትፈልጉ ምላሽ በሚሆን መልኩ ትክክለኛውን መጠይቅ ማዘጋጀት "Prompt Engineering" ይባላል።
አሪፍ መጠይቅ ስትሰጡት አሪፍ ምላሽ ታገኛላችሁ ነው ሃሳቡ።
ሰው ከ ሰው ጋር በደንብ ለመግባባት "Effective Communication skill" ያስፍለገዋል እንደሚባለው ከ Ai bots ጋር ለመግባባት እና አሪፍ output ከፈለጋችሁ አሪፍ "Prompter" ወይም አሪፍ የ "Prompt Engineering" ክህሎት ሊኖራችሁ ይገባል ማለት ነው።
እንደምንፈልገው የ እገዛ እና መጠየቅ እንደምንፈልገው ጥያቄ የ "Prompt" አይነት ቢለያይም ሁላችንም ብንጠቀማቸው የሚጠቅሙን ምክረ ሃሳቦች የሚከተሉት ናቸው።
1. ተግባሩን መረዳት
የቋንቋ ሞዴሉ እንዲሰራላችሁ የምትፈልጉትን ተግባር ወይም ግብ በግልፅ ግለጹ። ጽሑፍ እንዲያመነጭላችሁ ፤ ጥያቄዎችን እንዲመልስላችሁ ፤ ማብራሪያ እንዲሰጣችሁ ወይም ሌላ ነገር፣ ስለ ተግባሩ ግልጽ የሆነ መረዳት ወሳኝ ነው። ከዚያ በዚያ መሰረት መጠየቅ
2. ግልፅ ማድረግ
ጥያቄዎ ይበልጥ በተገለፀ መጠን የተሻለ መልስ ይኖረዋል ። ሞዴሉ የሥራውን አውድ እንዲረዳው ሁሉንም አስፈላጊ አውድ ፣ ገደቦች እና ዝርዝሮች ያካትቱ። አሻሚ ወይም ግልጽ ያልሆኑ ጥያቄዎች ግልጽ ያልሆኑ ወይም ተዛማጅነት የሌላቸው ምላሾች ሊያስከትሉ ይችላሉ።
3. ምሳሌዎችን መጠቀም
ሞድሉን እናንተ በምትፈልጉት መልኩ ለመምራት በጥያቄዎ ውስጥ ተዛማጅ ምሳሌዎችን ያቅርቡ። የምሳሌ ግብዓቶች እና የሚጠበቁ ውጤቶች ሞዴሉ የሚፈልጉትን የምላሽ አይነት እንዲገነዘብ ያግዙታል።
... እና ሌሎችም
ዋናው ነገር መለማመድ ፤ እንዴት እንደሚሰራ መገንዘብ ነው። ከዚያ ለምትፈልጉት አላማ ማዋል።
እኔ አሪፍ የምላቸውን ምሳሌዎች በተከታታይ አቀርባለው ። ለዛሬ ከስር በምስሉ የምትመለከቱትን አጠያቀቅ አሪፍ ከምላቸው መንገዶች አንዱ ነው።
Acting as a "Role" perform "task" in "Format".
Eg,
- [Act as Barack Obama and offer the Ethiopian Politicians to come to peace"] 😊
-[Acting as a psychologist] offer advice to help someone overcome social anxiety and build meaningful connections in a friendly letter format.
- act as William Shakespeare and write a soliloquy on the uses of artificial intelligence.
- [Acting as a historian] provide a detailed explanation of the causes and consequences of the Industrial Revolution in an informative essay format.
-[Acting as a tech guru] write a blog post comparing the latest iPhone and Android models, highlighting their features and pros and cons.
-. [Acting as a financial advisor] provide a comprehensive guide to budgeting and managing personal finances in a well-organized PowerPoint presentation.
- [Acting as a motivational speaker] deliver an inspiring speech on the importance of resilience and perseverance in achieving life goals in a TED talk format.