Start Simple (2) - Troubleshooting - Full Stack Deep Learning

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We're teaching an in-person LLM bootcamp in the SF Bay Area on November 14, 2023. Come join us if you want to see the most up-to-date materials building LLM-powered products and learn in a hands-on environment.

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--------------------------------------------------------------------------------------------- How to start simple with deep learning models?

Summary
- Choose simple architecture
- Use sensible hyper-parameter defaults
- Normalize data inputs: subtracting the mean and dividing by the variance.
- Simplify the problem:
- Working with a small training set around 10,000 examples.
- Using a fixed number of objects, classes, input size, etc.
- Creating a simpler synthetic training set like in research labs.