Week 2
Sept 5th 2023
Checked the VS_Research folder on WD_Black. Using
rcloneto 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.jsonusing a new notebook orsubscriber.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.