covering security practices for the entirety of the TensorFlow ecosystem.

## TensorFlow models are programs

TensorFlow
[**models**](https://developers.google.com/machine-learning/glossary/#model) (to
use a term commonly used by machine learning practitioners) are expressed as
programs that TensorFlow executes. TensorFlow programs are encoded as
computation
[**graphs**](https://developers.google.com/machine-learning/glossary/#graph).

    .build();
```

### Request Parameters

```java
SuggestResponse response = suggester.suggest()
    .setQuery("search term")
    .setSize(10)                           // max results
    .setTags(new String[]{"category"})      // filter by tags
    .setRoles(new String[]{"user"})         // filter by roles  
    .setLanguages(new String[]{"en", "ja"}) // language preference

# MinIO Multi-user Quickstart Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io)

MinIO supports multiple long term users in addition to default user created during server startup. New users can be added after server starts up, and server can be configured to deny or allow access to buckets and resources to each of these users. This document explains how to add/remove users and modify their access rights.

## Get started

    /** The key of the message: Label */
    public static final String LABELS_TARGET_LABEL = "{labels.targetLabel}";

    /** The key of the message: Term */
    public static final String LABELS_TERM = "{labels.term}";

    /** The key of the message: Fields */
    public static final String LABELS_FIELDS = "{labels.fields}";

    /** The key of the message: Extended Query */

This is a not complete and not normative list of (mostly) technical terms seen in the docs. It may be helpful for the prompt designer to figure out for which terms the LLM needs a helping hand. For example when it keeps reverting a good translation to a suboptimal translation. Or when it has problems conjugating/declinating a term in your language.

See e.g. section `### List of English terms and their preferred German translations` in `docs/de/llm-prompt.md`.

#### Использование `StreamingResponse` с файлоподобными объектами { #using-streamingresponse-with-file-like-objects }

Если у вас есть <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">файлоподобный</a> объект (например, объект, возвращаемый `open()`), вы можете создать функцию-генератор для итерации по этому файлоподобному объекту.

#### Usando `StreamingResponse` con objetos similares a archivos { #using-streamingresponse-with-file-like-objects }

Si tienes un <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">objeto similar a un archivo</a> (por ejemplo, el objeto devuelto por `open()`), puedes crear una función generadora para iterar sobre ese objeto similar a un archivo.

		}
	}
	return lval, nil
}

func (e *UnaryTerm) evalNode(r Record, tableAlias string) (*Value, error) {
	if e.Negated == nil {
		return e.Primary.evalNode(r, tableAlias)
	}

	v, err := e.Negated.Term.evalNode(r, tableAlias)
	if err != nil {
		return nil, err
	}

	inferTypeForArithOp(v)
	v.negate()
	if v.isNumeric() {
		return v, nil
	}
	return nil, errArithMismatchedTypes
}

		statusCode: 400,
		cause:      err,
	}
}

func errParseUnexpectedTerm(err error) *s3Error {
	return &s3Error{
		code:       "ParseUnexpectedTerm",
		message:    "The SQL expression contains an unexpected term.",
		statusCode: 400,
		cause:      err,
	}
}

func errParseUnexpectedToken(err error) *s3Error {
	return &s3Error{
		code:       "ParseUnexpectedToken",

For "synchronous" (contrary to "asynchronous") they commonly also use the term "sequential", because the computer / program follows all the steps in sequence before switching to a different task, even if those steps involve waiting.

### Concurrency and Burgers { #concurrency-and-burgers }