an issue in the Keras GitHub repo.
    *   **Error such as `Cannot recognize variable...`.** The new optimizer
        requires all optimizer variables to be created at the first
        `apply_gradients()` or `minimize()` call. If your workflow calls
        optimizer to update different parts of model in multiple stages,
        please call `optimizer.build(model.trainable_variables)` before the
        training loop.

- Make error message and service event message more clear ([#86078](https://github.com/kubernetes/kubernetes/pull/86078), [@feiskyer](https://github.com/feiskyer)) [SIG Cloud Provider]
- Minimize AWS NLB health check timeout when externalTrafficPolicy set to Local ([#73363](https://github.com/kubernetes/kubernetes/pull/73363), [@kellycampbell](https://github.com/kellycampbell)) [SIG Cloud Provider]

* 🔧 Update sponsors: Add Railway. PR [#13953](https://github.com/fastapi/fastapi/pull/13953) by [@tiangolo](https://github.com/tiangolo).
* ⚒️ Update translate script, update prompt to minimize generated diff. PR [#13947](https://github.com/fastapi/fastapi/pull/13947) by [@YuriiMotov](https://github.com/YuriiMotov).

volume counts on cloud nodes, exclusive CPU cores, or unique hardware devices) could trigger the failure. While this behavior is correct it reduces the throughput of pod execution and creates user-visible warnings - [future versions of Kubernetes will minimize the likelihood users see pod failures due to this issue](https://github.com/kubernetes/kubernetes/issues/106884). In general, any automation that creates pods [must take Kubelet rejections into account](https://kubernetes.io/docs/concepts/schedu...