We present The Transformer Cookbook: a collection of recipes for programming algorithms directly into transformers!
Hungry for an induction head? Craving a Dyck language recognizer? We show you step-by-step how to cook up transformers for these algorithms and many more!
Excited to head to @NeurIPSConf today! I'll be presenting our work on the representational capabilities of Transformers and RNNs/SSMs. If you're interested in meeting up to discuss research or chat, feel free to reach out via DM or email!
I wanted my Algorithms students to program NP hardness reductions so we developed Karp. A domain specific language for writing Karp reductions. Our students are quite good with a debugger, so reducing learning Theory to debugging seemed like a win. docs.racket-lang.org/karp/index.h...
