Machine Learning Study Group
Welcome! We meet from 4:00-4:40 p.m. Central Time. Anyone can join. Feel free to attend any or all sessions, or ask to be removed from the invite list as we have no wish to send unneeded emails of which we all certainly get too many. |
- Schedule:
- This week: Continue reading "Sparks of Artificial General Intelligence: Early experiments ..."
- Future week: Discussion about chatbot feasibility for an industrial application with guest speaker (and UALR PhD graduate) KO.
- Updates, announcements, questions, etc.?
- We may get more student presenting their work or defending. They are certainly welcome and invited!
- Anything else?
- Readings: We are reading
- Sparks of Artificial General Intelligence: Early experiments with GPT-4 (https://arxiv.org/abs/2303.12712).
- We got up to "The roof is a triangle above the U." and will start there next time.
- Want to read another article or view another video? Let me know and I'll put it on the list below and/or we can time share across more than one article per meeting!
- "Excessive
use of words like ‘commendable’ and ‘meticulous’ suggests ChatGPT has
been used in thousands of scientific studies" - https://english.elpais.com/
science-tech/2024-04-25/ excessive-use-of-words-like- commendable-and-meticulous- suggest-chatgpt-has-been-used- in-thousands-of-scientific- studies.html - NIST-associated materials such as on measuring AI, including as jumping off points:
- https://ai-challenges.nist.gov/genai
- https://www.nist.gov/ai-test-evaluation-validation-and-verification-tevv
- https://www.nist.gov/news-events/events/2021/06/ai-measurement-and-evaluation-workshop
- https://www.nist.gov/programs-projects/ai-measurement-and-evaluation/ai-metrology-colloquia-series
- LLMs and the singularity:
- https://philpapers.org/go.pl?id=ISHLLM&u=https%3A%2F%2Fphilpapers.org%2Farchive%2FISHLLM.pdf
- Summary of it: https://poe.com/s/WuYyhuciNwlFuSR0SVEt
- But what is a GPT? Visual intro to transformers | Chapter 5, Deep Learning, https://www.youtube.com/watch?v=wjZofJX0v4M
- We have read chapter 1 part 4: https://huggingface.co/learn/nlp-course/chapter1/4 up to "Note that the first attention layer in a decoder block pays attention to" and we can start from there at some point.