Fleet and LLM agents achieve 3x speedup in text generation and higher macro-F1 scores on the Action Judge benchmark
Statements (2)
- Bullish
LLM agents trained with the Agent-Editing World Model (AEWM) will achieve higher macro-F1 scores on the Action Judge benchmark compared to existing language world models.
- Bullish
FLEET achieves a 3x speedup in text generation compared to repeated sampling baselines.