9/8/23: Finish evaluating a list of candidate readings

 

Machine Learning Study Group

Welcome! We start at 4:00, and go for 40 minutes. New members are always welcome and anyone can join. You may attend any or all sessions. 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 79th meeting, Sept. 8, 2023.
• We are continuing to finish up, from last time, "week" 1 of the 3-week quasi-cycle (which consists of reading in week 1, and HuggingFace labs in weeks 2 and 3, interspersed with weeks with other activities). This means we will read more abstracts and evaluate whether to read the fuller articles.
  
•  Status updates/news/inputs/comments
• Student and project updates? 
• 
  
• Schedule of activities:
• Today: read & evaluate various possibilities for the next reading. We got up t0 #14 last time and will continue with #14 this time.
• Any other updates/news/inputs or comments?

• Status of the threads of activity:
• Here is where we are with the Huggingface lab exercises:
• To continue with the Huggingface lab program, last time we did this we worked on chapter 1,  part 3, https://huggingface.co/learn/nlp-course/chapter1/3?fw=tf. After the first paragraph we went to the collab link where we worked on that, starting to experiment with the code window

from transformers import pipeline

 

generator = pipeline("text-generation", model="distilgpt2")

generator(

    "In this course, we will teach you how to",

    max_length=30,

    num_return_sequences=2,

)

Next time we can experiment a bit more and then go on from there.

• Readings: let us discuss and evaluate the abstracts of the potential readings in the page of reading possibilities.
• We have evaluated items 1-11 and will finish the list next week (instead of going on to week 2 of the 3-week quasi-cycle).
  

• Readings/videos/demos we have finished. 
• 6/30/23: We finished https://openai.com/research/gpt-4 about GPT-4!
• 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.