maintains a hash table to track the most up-to-date vocabulary based on
      the inputs received by the layer and the eviction policy. When this layer
      is used with an `UpdateEmbeddingCallback`, which is a time-based callback,
      the vocabulary lookup tensor is updated at the time interval set in the
      `UpdateEmbeddingCallback` based on the most up-to-date vocabulary hash

* Add translations setup for Ukrainian. PR [#1830](https://github.com/tiangolo/fastapi/pull/1830).
* Add external link [Build And Host Fast Data Science Applications Using FastAPI](https://towardsdatascience.com/build-and-host-fast-data-science-applications-using-fastapi-823be8a1d6a0). PR [#1786](https://github.com/tiangolo/fastapi/pull/1786) by [@Kludex](https://github.com/Kludex).

to the lowest limb. // // The largest coefficient (r0) will be at most 111 bits, which guarantees // that all carries are at most 111 - 51 = 60 bits, which fits in a uint64. // // r0 = a0×b0 + 19×(a1×b4 + a2×b3 + a3×b2 + a4×b1) // r0 < 2⁵²×2⁵² + 19×(2⁵²×2⁵² + 2⁵²×2⁵² + 2⁵²×2⁵² + 2⁵²×2⁵²) // r0 < (1 + 19 × 4) × 2⁵² × 2⁵² // r0 < 2⁷ × 2⁵² × 2⁵² // r0 < 2¹¹¹ // // Moreover, the top coefficient (r4) is at most 107 bits, so c4 is at most // 56 bits, and c4 * 19 is at most 61 bits, which again fits in a...

to the lowest limb. // // The largest coefficient (r0) will be at most 111 bits, which guarantees // that all carries are at most 111 - 51 = 60 bits, which fits in a uint64. // // r0 = a0×b0 + 19×(a1×b4 + a2×b3 + a3×b2 + a4×b1) // r0 < 2⁵²×2⁵² + 19×(2⁵²×2⁵² + 2⁵²×2⁵² + 2⁵²×2⁵² + 2⁵²×2⁵²) // r0 < (1 + 19 × 4) × 2⁵² × 2⁵² // r0 < 2⁷ × 2⁵² × 2⁵² // r0 < 2¹¹¹ // // Moreover, the top coefficient (r4) is at most 107 bits, so c4 is at most // 56 bits, and c4 * 19 is at most 61 bits, which again fits in a...