PAW turns fuzzy text tasks into small local neural programs
Program-as-Weights lets developers describe fuzzy tasks such as log alerting or malformed-JSON repair in natural language, then run the resulting function locally instead of calling an LLM API for every input. Its 4B compiler emits an adapter for a frozen 0.6B Qwen3 interpreter, which matches direct Qwen3-32B prompting while using about one fiftieth the inference memory and running at 30 tokens per second on a MacBook M3. The project releases the 10M-example FuzzyBench dataset.