10/27/23: Preliminary Results

Machine Learning Study Group

Welcome! We start at 4:00 CT, and go for 40 minutes. New members are 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 of which we all certainly get too many. To join, send a request to jdberleant@ualr.edu.

 

Agenda & Minutes

86th Meeting, Oct. 27, 2023

• We are on schedule to start "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 that happen from time to time). Today we did student updates, with readings scheduled for next time.
• Next week we will do a reading.
• Following week we will continue with the HuggingFace lab program. We did question answering last time. See chapter 1, part 3, https://huggingface.co/learn/nlp-course/chapter1/3?fw=tf. We will go on to the next item.
  

• Project updates.
• PT.
• VK.
• DD.
  
• Anyone else? (VW, ...?)

The meeting ended here

• Readings: We will start discussing the top ranked item from the page of evaluated items next time we do readings. This is:
• 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. Suggested by MC. 8/18/23 vote was 4 6/7.

 

10/20/23: HuggingFace lab day

 

 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.

 

Agenda & Minutes

 

Welcome to the 85th meeting, Oct. 20, 2023!

• We are in "week" 3 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 that happen from time to time). This means we will do a Huggingface lab.  
  

• To continue with the HuggingFace lab program, we did question answering today for week 3 of the cycle. See chapter 1,  part 3, https://huggingface.co/learn/nlp-course/chapter1/3?fw=tf. We will read about it briefly and then trying it in the running code window.
  

• Readings: We will discuss the top ranked item from the page of evaluated items next time we do readings.

• Next time PT will present a preliminary graph obtained from his LSTM model of time series prediction. 

• Announcement:
  

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2nd OAK Supercomputing Conference

2 FREE Workshops and the 2nd OAK Supercomputing Conference
Oct 24-26, Little Rock AR
Contact: director-hpcc@okstate.edu
https://oak23.astate.edu

DETAILS:

The semi-annual OAK Supercomputing Conference is being hosted
by Arkansas State University.

Join us in Downtown Little Rock next week (Oct. 24-26).

Visit

https://oak23.astate.edu

for details.

Two VIRTUAL workshops are being organized as a part of this
conference.

These two workshops are available to ALL faculty, researchers,
post-doc and graduate students from Oklahoma, Arkansas and
Kansas (OAK) region.

YOU DO NOT NEED TO ATTEND THE CONFERENCE TO PARTICIPATE IN
THESE WORKSHOPS!

Oct. 24th, Virtual Workshop (Offered by NVIDIA):
Fundamentals of Deep Learning

Description: In this workshop, you'll learn how deep learning
works through hands-on exercises in computer vision and
natural language processing.

You'll train deep learning models from scratch, learning tools
and tricks to achieve highly accurate results.

You'll also learn to leverage freely available, state-of-the-
art pre-trained models to save time and get your deep learning
application up and running quickly.

More details on NVIDIA's website:

https://www.nvidia.com/en-us/training/instructor-led-workshops/fundamentals-of-deep-learning/

Offered by: Sri Koundinyan (from NVIDIA)
Cost: $0

Visit for details and registration:

https://hpcc.okstate.edu/nvidia-ml-workshop.html

Limit: Limited to first 50 participants

 

10/13/23: Work on masking in HuggingFace

 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.

 

Agenda & Minutes

 

Welcome to the 84th meeting, Oct. 13, 2023!

• We are in "week" 2 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 that happen from time to time). This means we will do a Huggingface lab.  
  

• To continue with the HuggingFace lab program, we did masking today, and will go on to question answering next time for week 3 of the cycle. See chapter 1,  part 3, https://huggingface.co/learn/nlp-course/chapter1/3?fw=tf. We will read about it briefly and then trying it in the running code window.
  

• Readings: We will discuss the top ranked item from the page of evaluated items next time we do readings.

 

 

10/6/23: Wide ranging free discussion

 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.

 

Agenda & Minutes

 

Welcome to the 83rd meeting, Oct. 6, 2023

• Today we talked randomly about ML!
• Next week we will be in "week" 2 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 that happen from time to time). This means we will do a Huggingface lab. 
• We will do more on this next time for week 3 of the cycle.

• To continue with the Huggingface lab program, lwe have gotten up to the section "Mask Filling" in chapter 1,  part 3, https://huggingface.co/learn/nlp-course/chapter1/3?fw=tf. We can start with that next time we do it, reading about it briefly and then trying it in the running code window.
  

• Readings: We will discuss the top ranked item from the page of evaluated items next time we do readings.