Machine Learning Study Group
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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
Agenda & Minutes
103rd meeting, Mar. 1, 2024
- Updates, announcements, questions, etc.?
- Discussion about ED's proposed research direction.
- Next time we do this I will take notes to put in the minutes for future reference. Also this would be a good use of read.ai.
- Readings: We are reading
- Sparks of Artificial General Intelligence: Early experiments with GPT-4 (https://arxiv.org/abs/2303.12712).
- We will start with "Throughout the paper we emphasize limitations"
- Here is a Youtube video about the article: https://www.youtube.com/watch?v=qbIk7-JPB2c (found by IE)
- Here is a video about Geoff Hinton: https://www.youtube.com/watch?v=qrvK_KuIeJk
- 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.
- Suggested viewings/readings on LAMs (Large Action Models) we could evaluate:
- https://www.youtube.com/watch?v=22wlLy7hKP4&t=91s&ab_channel=rabbit
- https://www.youtube.com/watch?v=UOZqFMxRpWE&ab_channel=ExitsMedia
- https://www.youtube.com/watch?v=Rqh6fhcAqpw&ab_channel=ColdFusion
- https://www.youtube.com/watch?v=uJnhh7YSr5Q&ab_channel=TheAIGRID
- https://medium.com/version-1/the-rise-of-large-action-models-lams-how-ai-can-understand-and-execute-hum
- Nvidia training materials
- We could go through some of these. MM has a license for free course/resource access. See https://www.nvidia.com/en-us/
training/online/ .
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