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Week 2

Sept 5th 2023

  • Checked the VS_Research folder on WD_Black. Using rclone to compare sizes on GDrive and local as following:

    • GDrive:

        (base) gqc@msi-desktop-ubuntu:WD_BLACK1$ rclone size hydrotrek-gdrive:/VS_Research
      2023/09/05 09:54:25 NOTICE: Dangling shortcut "2022 Metro Van CCTV Data" detected
      2023/09/05 09:54:30 NOTICE: Dangling shortcut "January 2023 DNV upload" detected
      2023/09/05 10:32:50 NOTICE: Google drive root 'VS_Research': Size may be underestimated due to 15 objects with unknown size
      Total objects: 2.571M (2571131)
      Total size: 7.275 TiB (7999326983846 Byte)
      Total objects with unknown size: 15 (15)
    • WD_Black:

        (base) gqc@msi-desktop-ubuntu:WD_BLACK1$ du -hs ./VS_Research/
      2.6T ./VS_Research/
  • Working on using LLAMA playground here -> llama2.ai

  • FYI, ChatGPT playground is here -> platform.openai.com

  • Resources used for learning and testing implementation of LLAMA -

Sept 6th 2023

  • Research Topic for later - Combining output from two different models.

  • Mail AI3 questions to - ai3info@lists.tamu.edu; Lizzette Arias lizzette.arias@us-ignite.org

  • Create a LLAMA page under AI3 in projects site for adding details and marmaid charts.

    • Add notes on what are being used in the scripts.
    • Note the wandb token used for fine-tuning LLaMA.
  • Included the LLAMA notebooks in AI3-hackathon/docs/nbs/ - Not yet committed, also uploaded on colab.

  • Add comments in the LLAMA 2 notebooks.

  • Test the trained llama/generate.json using a new notebook or subscriber.py.

    • Works with subscriber.py, need to test on more data.
  • Check if LLaMA has an API (we know HF(hugging face) hosts it) - No offical API, only third party hosted APIs

  • Should we train LLaMA on phase 3 data? - Yes

  • Improve YOLO output (misclassification)

    • Sudhir mailed this to try - yolo

Sept 7th 2023

  • Worked on running CCTV labelling notebook on MSI through GQC user - Since SSH session through VSCode seems to timeout.
  • Add Jian's reply to questions on general site under AI3.
  • Document LLAMA notebooks flowchart under projects > AI3 > LLAMA

Sept 8th 2023

  • Decide on training LLAMA on new phase 3 data over the weekend.
    • Search on how to train a fine-tuned model with more data - will it forget the old data?
    • Prepare the lookup DB with synonyms and keys
    • Prepare the training DB with json, questions and answers[need to decide].
  • Need to work on preparing lookup.db such that any new keys words are appended to existing list.
  • Update data sources section on phase3 roadmap page.
  • Create AI3 > videos section to discuss on our processes like YOLO.