docs: update README.md (#6018)

README.md

@@ -31,7 +31,7 @@ Jina provides a smooth Pythonic experience for serving ML models transitioning f
 
 - Build and serve models for any [data type](https://docs.docarray.org/data_types/first_steps/) and any mainstream [deep learning framework](https://docarray.org/docarray/how_to/multimodal_training_and_serving/).
 - Design high-performance services, with [easy scaling](https://docs.jina.ai/concepts/orchestration/scale-out/), duplex client-server streaming, batching, [dynamic batching](https://docs.jina.ai/concepts/serving/executor/dynamic-batching/), async/non-blocking data processing and and any [protocol](https://docs.jina.ai/concepts/serving/gateway/#set-protocol-in-python).
-- Serve [LLM models while streaming their output](#streaming-for-llms).
+- Serve [LLM models while streaming their output](https://github.com/jina-ai/jina#streaming-for-llms).
 - Docker container integration via [Executor Hub](https://cloud.jina.ai), OpenTelemetry/Prometheus observability.
 - Streamlined CPU/GPU hosting via [Jina AI Cloud](https://cloud.jina.ai).
 - Deploy to your own cloud or system with our [Kubernetes](https://docs.jina.ai/cloud-nativeness/k8s/) and [Docker Compose](https://docs.jina.ai/cloud-nativeness/docker-compose/) integration().