artificial intelligence

TODO

move repositories:

• https://github.com/leventarican/ml
• https://github.com/leventarican/neuronal-network

AI

model checkpoint

in machine learning, a model checkpoint is a file containing the weights (i.e., the parameters) of a trained model at a particular point during training.

model card

a model card is a document that provides information about a machine learning model. I.e.:

• https://github.com/facebookresearch/llama/blob/main/MODEL_CARD.md
• https://github.com/tatsu-lab/stanford_alpaca/blob/main/model_card.md

pytorch

a ML framework. See example pytorch/

flask

• for deploying the model i use flask
• model-webapp/helloflask.py is sample hello world flask app.

option 0

• run it with:

export FLASK_APP=helloflask.py
python -m flask run

• open browser (or curl -i) http://127.0.0.1:5000/
• debug mode can be activated by

export FLASK_ENV=development

option 1

• call app.run function in main

if __name__ == '__main__':
    app.run(debug=True)

links

famous ml dataset: fisher's iris data set (iris.data) https://archive.ics.uci.edu/ml/datasets/iris