AIFIRST Training a 3.8B Language Model to Strong Performance for Under $1000
The brief
A researcher trained a 3.8 billion parameter language model to a CORE score of 0.384 for $998 in compute costs.
Key points
- The writeup documents the training setup, data choices, and lessons learned for budget-constrained model development.
Sources
- ingesthugovergnes.github.io