6/14/2024: Finish evaluating new readings

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.

 Contacts: jdberleant@ualr.edu and mgmilanova@ualr.edu

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Agenda & Minutes

117th meeting, June 14, 2024

• Schedule:

• Next week (6/21/24): No meeting.
• Following week (6/28/24): Presentation by JK.
  
• Updates, news, or comments?
• We evaluated some other readings/viewings for more in-depth examination later. Here they are with the highest evaluated ones in order first.
1. Visual intro to transformers | Chapter 5, Deep Learning, https://www.youtube.com/watch?v=wjZofJX0v4M.We viewed the first two segments. 6/7/24, vote was 4 6.75/8.
2. LLMs and the singularity: https://philpapers.org/go.pl?id=ISHLLM&u=https%3A%2F%2Fphilpapers.org%2Farchive%2FISHLLM.pdf (summarized at: https://poe.com/s/WuYyhuciNwlFuSR0SVEt). 6/7/24: vote was 4 3/7. We read the abstract.
3. Https://www.youtube.com/watch?v=dDUC-LqVrPU (suggested by BL). We got up to time 4:25. 5/24/24 vote to finish it was 3 5.234/6.
4. https://ai-challenges.nist.gov/genai. 6/7/24 vote was 3 2/7. We ended at "fake or misleading information."
5. We've been reading "Sparks of Artificial General Intelligence: Early Experiments ..." starting at "2.3 Music" (https://arxiv.org/abs/2303.12712). We got up to "We then asked the model to describe the tune in musical terms." 5/24/24 vote to read more of the paper was 3 1/5.
6. https://www.nist.gov/ai-test-evaluation-validation-and-verification-tevv. We read up to "NIST aims to expand these efforts, driving AI research and enabling progress by:". 6/7/24 vote was 3 1.75/8.
7. Chapter 1 part 4: https://huggingface.co/learn/nlp-course/chapter1/4. We read up to "Transformers are language models" and evaluated on 6/14/24 at: 3 1.75/9.
8. https://arxiv.org/abs/2404.04125. We read up to "This trend persists even when controlling for sample-level similarity between pretraining and downstream datasets, and testing on purely synthetic data distributions." in the abstract. Evaluation on 6/14/24 was: 2 8.5/9.
9. https://en.wikipedia.org/wiki/The_Lawnmower_Man_(film). We read up to "The film was originally marketed" on 6/14/24. Vote to read more was: 1.4.

• Updates, announcements, questions, etc.?
• Anything else?