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README.md

@@ -255,18 +255,6 @@ for i, output in enumerate(outputs):
 
 5. **Canon Layers Help**: The depthwise causal convolutions (Canon layers) improve factuality and reasoning with only 0.13% parameter overhead.
 
-## When to Use Dhara
-
-**Choose Dhara when:**
-- Batch generation throughput matters
-- Factual accuracy is critical
-- You have an existing AR checkpoint to convert
-
-**Choose AR models when:**
-- Interactive latency is critical
-- Sequential reasoning is important (math, coding)
-- Memory is constrained
-
 ## Limitations
 
 - Lower performance on sequential reasoning tasks (GSM8K: 0.00%)