7/7/23: Hugging Face lab (ending a 3-week quasi-cycle)

 

 Machine Learning Study Group

Welcome! We start at 4:00. 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 70th meeting, July 7, 2023.
• Status updates/news/inputs/comments
• Student and project updates?
  
• Schedule of activities:
• Today: Hugging Face (week 3 of the 3-week quasi-cycle)
• Following week (7/14): part of 3-week rotation -- week 1 of 3, readings
• Week after that (7/21): EG informally presents a draft paper for our information, comments and suggestions
• Week after that (7/28): back to the 3-week rotation -- week 2 of 3, Hugging Face
  
• Any other updates/news/inputs or comments?

• Status of the threads of activity:
  
• To continue with the Huggingface lab program, last time 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.
• Here are some other things we could choose to read from in the future.
  
• 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.
• 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.

• 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.