Update README.md

README.md

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 ## RWKV v2: RNN with Transformer-level Performance
 
-RWKV v2 is a RNN with Transformer-level performance, which can also be directly trained like a GPT transformer (parallelizable). And it's attention-free. You only need x_t, a_t, b_t of position t to compute the vectors for position t+1.
+RWKV v2 is a RNN with Transformer-level performance, which can also be directly trained like a GPT transformer (parallelizable). And it's attention-free. You only need x_t, a_t, b_t of position t to compute the vectors for position t+1. You can use the "GPT" mode to quickly build the hidden state for the "RNN" mode.
 
 So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.