JevSpawn: Adaptive Agentic Inference through Compositional Action Spaces
LLM agents generate intermediate reasoning and actions token by token, making extended interactions slow and computationally expensive. Jev-style models offer fast probabilistic predictions over finite fields, but require those fields to be specified in advance. This requirement…
- 01.LLM agents generate intermediate reasoning and actions token by token, making extended interactions slow and computationally expensive
- 02.Jev-style models offer fast probabilistic predictions over finite fields, but require those fields to be specified in advance
- 03.This requirement…
This material is provided as an extended analytical summary.
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