Friday, April 14, 2023

4/14/23: Student updates; evaluate potential readings

 

 

 Machine Learning Study Group

Welcome! We start at 4:00 (or as soon as the weekly seminar is over and people have logged in). Zoom automatically ends the meeting after 40 minutes. New members are always welcome and anyone can join. You may attend any or all sessions. Also feel free to ask to be removed from the invite list at any time, as we have no wish to send unneeded emails which we all certainly get too many of.
 
Agenda & Minutes
  • Welcome to the 60th meeting, April 14, 2023.
  • Status updates/news/inputs/comments
    • Student and project updates
      • EG introduced us to Rapids.AI. It is much faster than its competitors.
      • PT is working on predicting spacecraft lifetimes using LSTMs to digest the data and make predictions. He is incorporating nominal variables (category bins) into the model. Example: destination, which could be Mars, or Saturn, or Jupiter, etc., which does not have a continuous value.
      • K is working on installing Rapids.AI.
      •  Superimposed text project (VK). Paper underway on VQA on images with superimposed text.
    • Any other updates/news/inputs or comments?
  • In the article "ChatGPT Strategy" by C. Goodall, we got through item 2 in the section "10 WAYS TEACHERS CAN USE CHAT GPT TO REDUCE WORKLOAD." We can start from there. Evaluation was 3.0 to keep reading it.
  • We read https://openai.com/research/gpt-4 about GPT-4 up to the section "Steerability" but got cut off before we could evaluate it. So we will evaluate it next time.
  • MC suggested: Sparks of Artificial General Intelligence: Early experiments with GPT-4 (https://arxiv.org/abs/2303.12712). We read the abstract to decide whether to read the article. The group's evaluation was 3 6/7 out of 5 to read it.
  • Here are some other things we could choose to read from in the future from as time allows.
    • ChatGPT related readings, video viewings, etc.
  • At some point we can discuss and vote on other sources. See the list on the page of sources. Also Youtube is full of videos about neural nets, transformers, etc.
  • Readings/videos/demos we have finished. 
    • 2/17/23; "Deep Learning for AI" by Bengio, LeCun and Hinton, the Turing Award Lecture paper for 2018, published in CACM, 2021, https://dl.acm.org/doi/pdf/10.1145/3448250.
    • ChatGPT Is a Tipping Point for AI (Harvard Business Review). Finished 1/27/23.
    • 12/16/22: We demoed ChatGPT.
    • 11/4/22: We viewed and discussed a transformers video: https://www.youtube.com/watch?v=TQQlZhbC5ps first. This seemed to be one of the better videos of the many out there.
    • Transformers From Scratch," https://e2eml.school/transformers.html. Finished on 10/28/22.
    • The Narrated Transformer Language Model, Jay Alammar, https://www.youtube.com/watch?v=-QH8fRhqFHM, finished 7/22/22.
    • https://www.youtube.com/watch?v=F1X4fHzF4mQ. Finished 8/26/22.
    • We also finished other things from before this list of finished sources was created to keep a record of them.



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