## Caso de uso

Vamos iniciar com um exemplo de **caso de uso** e então ver como resolvê-lo com isso.

Vamos imaginar que você tem alguns **modelos de _machine learning_** que deseja usar para lidar com as requisições. 🤖

## Full Stack FastAPI MongoDB

... müsaitliğime ve diğer faktörlere bağlı olarak daha sonra gelebilir. 😅 🎉

## Machine Learning modelleri, spaCy ve FastAPI

GitHub: <a href="https://github.com/microsoft/cookiecutter-spacy-fastapi" class="external-link" target="_blank">https://github.com/microsoft/cookiecutter-spacy-fastapi</a>

### Machine Learning modelleri, spaCy ve FastAPI - Features

* **spaCy** NER model entegrasyonu.

* **Machine Learning**: Normalmente exige muita multiplicação de matrizes e vetores. Pense numa grande folha de papel com números e multiplicando todos eles juntos e ao mesmo tempo.

  // This field cannot be empty for new Events and it can have at most 128 characters.
  optional string reportingInstance = 5;

  // action is what action was taken/failed regarding to the regarding object. It is machine-readable.
  // This field cannot be empty for new Events and it can have at most 128 characters.
  optional string action = 6;

  // reason is why the action was taken. It is human-readable.

  // This field cannot be empty for new Events and it can have at most 128 characters.
  // +optional
  optional string reportingInstance = 5;

  // action is what action was taken/failed regarding to the regarding object. It is machine-readable.
  // This field can have at most 128 characters.
  // +optional
  optional string action = 6;

  // reason is why the action was taken. It is human-readable.
  // This field can have at most 128 characters.

researchers push the state-of-the-art in ML and developers easily build and
deploy ML-powered applications.

TensorFlow was originally developed by researchers and engineers working within
the Machine Intelligence team at Google Brain to conduct research in machine
learning and neural networks. However, the framework is versatile enough to be
used in other areas as well.

TensorFlow provides stable [Python](https://www.tensorflow.org/api_docs/python)

describes the peculiarities that apply when writing assembly code to interact with Go.
</p>

<p>
The most important thing to know about Go's assembler is that it is not a direct representation of the underlying machine.
Some of the details map precisely to the machine, but some do not.
This is because the compiler suite (see
<a href="https://9p.io/sys/doc/compiler.html">this description</a>)
needs no assembler pass in the usual pipeline.

ka: ქართული
kg: Kikongo
ki: Gĩkũyũ
kj: Kuanyama
kk: қазақ тілі
kl: kalaallisut
km: ខេមរភាសា
kn: ಕನ್ನಡ
ko: 한국어
kr: Kanuri
ks: कश्मीरी
ku: Kurdî
kv: коми кыв
kw: Kernewek
ky: Кыргызча
la: latine
lb: Lëtzebuergesch
lg: Luganda
li: Limburgs
ln: Lingála
lo: ພາສາ
lt: lietuvių kalba
lu: Tshiluba
lv: latviešu valoda
mg: fiteny malagasy
mh: Kajin M̧ajeļ
mi: te reo Māori
mk: македонски јазик

pkg debug/pe, const IMAGE_COMDAT_SELECT_SAME_SIZE ideal-int #51868
pkg debug/pe, const IMAGE_FILE_MACHINE_LOONGARCH32 = 25138 #46229
pkg debug/pe, const IMAGE_FILE_MACHINE_LOONGARCH32 ideal-int #46229
pkg debug/pe, const IMAGE_FILE_MACHINE_LOONGARCH64 = 25188 #46229
pkg debug/pe, const IMAGE_FILE_MACHINE_LOONGARCH64 ideal-int #46229
pkg debug/pe, const IMAGE_SCN_CNT_CODE = 32 #51868

## Que signifie le déploiement

**Déployer** une application signifie effectuer les étapes nécessaires pour la rendre **disponible pour les
utilisateurs**.

Pour une **API Web**, cela implique normalement de la placer sur une **machine distante**, avec un **programme serveur**
qui offre de bonnes performances, une bonne stabilité, _etc._, afin que vos **utilisateurs** puissent **accéder** à
l'application efficacement et sans interruption ni problème.