* 🌐 Update Korean LLM prompt. PR [#14740](https://github.com/fastapi/fastapi/pull/14740) by [@hard-coders](https://github.com/hard-coders).
* 🌐 Improve LLM prompt for Turkish translations. PR [#14728](https://github.com/fastapi/fastapi/pull/14728) by [@Kadermiyanyedi](https://github.com/Kadermiyanyedi).

v.t.Multiply(xx, y) // xy = T / Z return v, nil } func copyFieldElement(buf *[32]byte, v *field.Element) []byte { copy(buf[:], v.Bytes()) return buf[:] } // Conversions. func (v *projP2) FromP1xP1(p *projP1xP1) *projP2 { v.X.Multiply(&p.X, &p.T) v.Y.Multiply(&p.Y, &p.Z) v.Z.Multiply(&p.Z, &p.T) return v } func (v *projP2) FromP3(p *Point) *projP2 { v.X.Set(&p.x) v.Y.Set(&p.y) v.Z.Set(&p.z) return v } func (v *Point) fromP1xP1(p *projP1xP1) *Point { v.x.Multiply(&p.X, &p.T) v.y.Multiply(&p.Y, &p.Z) v.z.Multiply(&p.Z,...

v.t.Multiply(xx, y) // xy = T / Z return v, nil } func copyFieldElement(buf *[32]byte, v *field.Element) []byte { copy(buf[:], v.Bytes()) return buf[:] } // Conversions. func (v *projP2) FromP1xP1(p *projP1xP1) *projP2 { v.X.Multiply(&p.X, &p.T) v.Y.Multiply(&p.Y, &p.Z) v.Z.Multiply(&p.Z, &p.T) return v } func (v *projP2) FromP3(p *Point) *projP2 { v.X.Set(&p.x) v.Y.Set(&p.y) v.Z.Set(&p.z) return v } func (v *Point) fromP1xP1(p *projP1xP1) *Point { v.x.Multiply(&p.X, &p.T) v.y.Multiply(&p.Y, &p.Z) v.z.Multiply(&p.Z,...

    *   XLA reduction emitter is deterministic when the environment variable
        `TF_DETERMINISTIC_OPS` is set to "true" or "1". This extends
        deterministic `tf.nn.bias_add` back-prop functionality (and therefore
        also deterministic back-prop of bias-addition in Keras layers) to
        include when XLA JIT compilation is enabled.
    *   Fix problem, when running on a CUDA GPU and when either environment

- Promote Immutable Secrets/ConfigMaps feature to Beta and enable the feature by default.