Topic: GPT and Lambda
Table of summary
- Datasets used by GPT and Lambda
-- Comparison of Datasets used by GPT and Lambda
What is machine learning?
What is transfer learning?
-- The knowledge you learn in one domain helps you in another domain.
Applications of said models
Legality
-- Fair use of the dataset
https://economictimes.indiatimes.com/pr ... s?from=mdr
-- Copyright infringement
https://www.engadget.com/ai-generated-i ... d%20artist.
-- Can AI be lawyers?
https://edition.cnn.com/2023/01/26/tech ... index.html
-- Is AI sentient?
https://www.searchenginejournal.com/goo ... nt/454820/
Public reception
Public reception between ChatGPT and Bard
-- Google shares drop $100 billion after its new AI chatbot makes a mistake
https://www.npr.org/2023/02/09/11556509 ... rst%20demo
-- Dan the evil Chatgpt - cleansing of output
https://medium.com/@neonforge/meet-dan- ... 1bfa679024
Citations
- https://en.wikipedia.org/wiki/GPT-3#:~: ... d%20tokens.
https://www.searchenginejournal.com/goo ... 941/#close
https://en.wikipedia.org/wiki/Generativ ... ransformer
Notes:
- Jason will arrive at Dante around 7:40 pm, so for the first 30 minutes, we will have our regular group discussion on this related subject.
The discussion questions will be listed here soon.
6:45 ~ 7:00pm Greetings & Free Talk / Ordering Beverage or Meal / Getting Newcomer’s Information
7:00 ~ 7:05pm Opening Remarks / Newcomer’s Self-introduction / Grouping
(Session I)
7:05 ~ 7:30pm Discussion Session (25 mins)
7:30 ~ 7:40pm Summarization (10 mins)
(Session II)
7:45 ~ 8:00pm Jason's Presentation
8:00 ~ 8:55pm Q&A and Discussion
8:55 ~ 9:00pm Concluding Remarks / Announcements
Meeting Date: As shown on the Subject Line
Meeting Time: 7:00pm – 9:00pm
Meeting Venue: 丹堤咖啡 Dante Coffee (Minimum Order $80)
Address: 台北市濟南路三段25號[MAP]-捷運忠孝新生站3號出口步行3分鐘
Important Notes:
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2. We suggest that participants read the articles and think about the questions in advance.
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