Update README.md

README.md

@@ -210,10 +210,10 @@ the 14 languages and has the best mean.
 | the same 4 questions as 4 passes | 33.2 ms | 33.3 ms |
 | 4 clips in one batch, 1 question each | 16.0 ms | 16.1 ms |
 
-End to end through `predict`, including feature extraction; GPU memory 1.9 GB. The default `fast=True` merges the
+End-to-end inference time through `predict`, including feature extraction (not end-of-turn response latency); GPU memory 1.9 GB. The default `fast=True` merges the
 adapter weights into the backbone and replays CUDA graphs captured on first use of each input shape (the very first
-call takes ~0.5 s, each new shape ~0.1 s). `VoxTurn.from_pretrained(path, fast=False)` runs the unmerged weights eagerly
-(~38 ms) and reproduces the evaluation computation exactly.
+call takes approximately 0.5 s, each new shape approximately 0.1 s). `VoxTurn.from_pretrained(path, fast=False)` runs the unmerged weights eagerly
+(approximately 38 ms) and reproduces the evaluation computation exactly.
 
 Training details will be described in a technical report.