RAG in 45 seconds

If you want to know about what is RAG and how it’s used, read the following pseudo(ish) code

Crash Course on Python Parallel Processing

You are in a company X where you want to run crash testing. every test is time consuming and you have only one python terminal at disposal. let’s setup the base code and run sequentially

AutoTrain - Part 3: Use Cases

We have seen how to setup the ingredients for an experiment.
We have also seen how to create a recipe for a task that will act as boilerplate code for any number of experiments
Let’s go through some more of AutoTrain’s ingredients…

AutoTrain - Part 2: Recipes

We have seen how to setup the ingredients for an experiment. The next step is to create the necessary files to use these ingredients in a way that training and validation can be done in one line.

All the recipes can be summarized into the following files

config.ini          --> Ingredients
custom_functions.py --> User inputs that suppliment config.ini
model.py            --> Base model (and optional dataloaders + learner during training)
train.py            --> Training logic
validate.py         --> Validation logic
main.py             --> Command line and API logic

Let’s create the recepie for MNIST ingredients that we have created in the previous article.