The major AI labs seem to be focusing more on use cases that can be scaled with RLAIF.
- The major AI labs seem to be focusing more on use cases that can be scaled with RLAIF.[ps]
- Earlier models distinguished by how well they could write or do things with taste.
- RLAIF allows significant quality creation at scale, but only works for things that can be ground-truthed automatically, like code.
- The ceiling of quality of a model is set by the skill and taste of the grading process.