Reading up on deep-learning
2 deep · digging since apr 12
- [2609.11801] Thinking with Looped Flows
Looped flows train recurrent models with local denoising objectives to enable scalable inference computation, outperforming prior looped models on ARC-AGI benchmarks.
- Show HN: I built a tiny LLM to demystify how language models work
GuppyLM is an 8.7M-parameter model trained from scratch in five minutes that simulates a fish named Guppy to illustrate the mechanics of LLMs.