parallelizable

RWKV is a novel language model architecture that combines the efficiency of RNNs with the parallelizability of Transformers, achieving strong LLM performance with linear time complexity and constant memory footprint.

A skill is being developed to transform a 'vibecoded slop app' into a production-ready, e2e tested, maintainable, parallelizable agent repository, resulting in a robust codebase after 103 commits over 16 hours.