@JonBuildsHQ I still write code manually when I'm learning something new or need a deeper understanding. For tasks I'm already familiar with, I usually let AI speed things up
Happy new moth builders! ๐จโ๐ปโจ๏ธ
Another 30 days to:
โ Build
โ Learn
โ Ship
โ Improve
โ Repeat
Big wins rarely happen overnight.
They come from small actions repeated consistently.
Let's make June a productive one๐ช
I recently came across a GitHub repository that walks through the process of building a transformer-based language model using PyTorch from the ground up.
What stood out to me:
โข Transformer components implemented manually
โข Data preparation and tokenization pipeline included
โข Training configuration is easy to inspect and modify
โข Inference scripts for generating text after training
โข Structured enough to follow without getting lost in a huge codebase
Repo: https://t.co/gvSKRgWf36
#AIEngineering #MachineLearning #LLM #DeepLearning #PyTorch
I recently came across a GitHub repository that walks through the process of building a transformer-based language model using PyTorch from the ground up.
What stood out to me:
โข Transformer components implemented manually
โข Data preparation and tokenization pipeline included
โข Training configuration is easy to inspect and modify
โข Inference scripts for generating text after training
โข Structured enough to follow without getting lost in a huge codebase
Repo: https://t.co/gvSKRgWf36
#AIEngineering #MachineLearning #LLM #DeepLearning #PyTorch