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Link the other KV cache sections (#708)

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ch04/03_kv-cache/README.md
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@ -297,3 +297,11 @@ On a Mac Mini with an M4 chip (CPU), with a 200-token generation and a window si
| `gpt_with_kv_cache_optimized.py` | 166 |
Unfortunately, the speed advantages disappear on CUDA devices as this is a tiny model, and the device transfer and communication outweigh the benefits of a KV cache for this small model.
 
## Additional Resources
1. [Qwen3 from-scratch KV cache benchmarks](../../ch05/11_qwen3#pro-tip-2-speed-up-inference-with-compilation)
2. [Llama 3 from-scratch KV cache benchmarks](../../ch05/07_gpt_to_llama/README.md#pro-tip-3-speed-up-inference-with-compilation)
3. [Understanding and Coding the KV Cache in LLMs from Scratch](https://magazine.sebastianraschka.com/p/coding-the-kv-cache-in-llms) -- A more detailed write-up of this README