您可以使用安全性設定,調整可能會收到有害回覆的機率。根據預設,安全設定會封鎖所有維度中屬於中等和/或高機率有害的內容。
Gemini安全設定 前往Imagen安全設定 前往
Gemini 型號的安全性設定
如要進一步瞭解 Gemini 型號的安全設定,請參閱 Google Cloud 說明文件。
Swift
建立 GenerativeModel
執行個體時,您會設定 SafetySettings
。
以下是包含一個安全設定的範例:
// ...
let model = vertex.generativeModel(
modelName: "GEMINI_MODEL_NAME",
safetySettings: [
SafetySetting(harmCategory: .harassment, threshold: .blockOnlyHigh)
]
)
// ...
含有多個安全性設定的範例:
// ...
let harassmentSafety = SafetySetting(harmCategory: .harassment, threshold: .blockOnlyHigh)
let hateSpeechSafety = SafetySetting(harmCategory: .hateSpeech, threshold: .blockMediumAndAbove)
let model = vertex.generativeModel(
modelName: "GEMINI_MODEL_NAME",
safetySettings: [harassmentSafety, hateSpeechSafety]
)
// ...
Kotlin
建立 GenerativeModel
執行個體時,您會設定 SafetySettings
。
以下是包含一個安全設定的範例:
import com.google.firebase.vertexai.type.HarmBlockThreshold
import com.google.firebase.vertexai.type.HarmCategory
import com.google.firebase.vertexai.type.SafetySetting
val generativeModel = Firebase.vertexAI.generativeModel(
modelName = "GEMINI_MODEL_NAME",
safetySettings = listOf(
SafetySetting(HarmCategory.HARASSMENT, HarmBlockThreshold.ONLY_HIGH)
)
)
// ...
含有多個安全性設定的範例:
import com.google.firebase.vertexai.type.HarmBlockThreshold
import com.google.firebase.vertexai.type.HarmCategory
import com.google.firebase.vertexai.type.SafetySetting
val harassmentSafety = SafetySetting(HarmCategory.HARASSMENT, HarmBlockThreshold.ONLY_HIGH)
val hateSpeechSafety = SafetySetting(HarmCategory.HATE_SPEECH, HarmBlockThreshold.MEDIUM_AND_ABOVE)
val generativeModel = Firebase.vertexAI.generativeModel(
modelName = "GEMINI_MODEL_NAME",
safetySettings = listOf(harassmentSafety, hateSpeechSafety)
)
// ...
Java
建立 GenerativeModel
執行個體時,您會設定 SafetySettings
。
SafetySetting harassmentSafety = new SafetySetting(HarmCategory.HARASSMENT,
HarmBlockThreshold.ONLY_HIGH);
GenerativeModel gm = FirebaseVertexAI.getInstance().generativeModel(
"GEMINI_MODEL_NAME",
/* generationConfig is optional */ null,
Collections.singletonList(harassmentSafety)
);
GenerativeModelFutures model = GenerativeModelFutures.from(gm);
// ...
含有多個安全性設定的範例:
SafetySetting harassmentSafety = new SafetySetting(HarmCategory.HARASSMENT,
HarmBlockThreshold.ONLY_HIGH);
SafetySetting hateSpeechSafety = new SafetySetting(HarmCategory.HATE_SPEECH,
HarmBlockThreshold.MEDIUM_AND_ABOVE);
GenerativeModel gm = FirebaseVertexAI.getInstance().generativeModel(
"GEMINI_MODEL_NAME",
/* generationConfig is optional */ null,
List.of(harassmentSafety, hateSpeechSafety)
);
GenerativeModelFutures model = GenerativeModelFutures.from(gm);
// ...
Web
建立 GenerativeModel
執行個體時,您會設定 SafetySettings
。
以下是包含一個安全設定的範例:
import { HarmBlockThreshold, HarmCategory, getGenerativeModel } from "firebase/vertexai";
// ...
const safetySettings = [
{
category: HarmCategory.HARM_CATEGORY_HARASSMENT,
threshold: HarmBlockThreshold.BLOCK_ONLY_HIGH,
},
];
const model = getGenerativeModel(vertex, { model: "GEMINI_MODEL_NAME", safetySettings });
// ...
含有多個安全性設定的範例:
import { HarmBlockThreshold, HarmCategory, getGenerativeModel } from "firebase/vertexai";
// ...
const safetySettings = [
{
category: HarmCategory.HARM_CATEGORY_HARASSMENT,
threshold: HarmBlockThreshold.BLOCK_ONLY_HIGH,
},
{
category: HarmCategory.HARM_CATEGORY_HATE_SPEECH,
threshold: HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE,
},
];
const model = getGenerativeModel(vertex, { model: "GEMINI_MODEL_NAME", safetySettings });
// ...
Dart
建立 GenerativeModel
執行個體時,請設定 SafetySettings
。
以下是包含一個安全設定的範例:
// ...
final safetySettings = [
SafetySetting(HarmCategory.harassment, HarmBlockThreshold.high)
];
final model = FirebaseVertexAI.instance.generativeModel(
model: 'GEMINI_MODEL_NAME',
safetySettings: safetySettings,
);
// ...
含有多個安全性設定的範例:
// ...
final safetySettings = [
SafetySetting(HarmCategory.harassment, HarmBlockThreshold.high),
SafetySetting(HarmCategory.hateSpeech, HarmBlockThreshold.high),
];
final model = FirebaseVertexAI.instance.generativeModel(
model: 'GEMINI_MODEL_NAME',
safetySettings: safetySettings,
);
// ...
Imagen 型號的安全性設定
如要瞭解 Imagen 型別支援的所有安全設定和可用值,請參閱 Google Cloud 說明文件。
Swift
建立 ImagenModel
執行個體時,您會設定 ImagenSafetySettings
。
// Initialize the Vertex AI service
let vertex = VertexAI.vertexAI()
// Create an `ImagenModel` instance
let model = vertex.imagenModel(
modelName: "IMAGEN_MODEL_NAME",
// Configure image generation safety settings for the model
safetySettings: ImagenSafetySettings(
safetyFilterLevel: .blockLowAndAbove,
personFilterLevel: .allowAdult
)
)
// ...
Kotlin
建立 ImagenModel
執行個體時,您會設定 ImagenSafetySettings
。
// Create an `ImagenModel` instance
val imagenModel = Firebase.vertexAI.imagenModel(
modelName = "IMAGEN_MODEL_NAME",
// Configure image generation safety settings for the model
safetySettings = ImagenSafetySettings(
safetyFilterLevel = ImagenSafetyFilterLevel.BLOCK_LOW_AND_ABOVE,
personFilterLevel = ImagenPersonFilterLevel.BLOCK_ALL
)
)
// ...
Java
建立 ImagenModel
執行個體時,您會設定 ImagenSafetySettings
。
// Create an `ImagenModel` instance
ImagenModel imagenModel =
FirebaseVertexAI.getInstance().imagenModel(
/* modelName */ "IMAGEN_MODEL_NAME",
/* imageGenerationConfig */ null);
ImagenModelFutures model = ImagenModelFutures.from(imagenModel);
// ...
Web
建立 ImagenModel
執行個體時,您會設定 ImagenSafetySettings
。
// Create an `ImagenModel` instance
const imagenModel = getImagenModel(
vertexAI,
{
model: "IMAGEN_MODEL_NAME",
// Configure image generation safety settings for the model
safetySettings: {
safetyFilterLevel: ImagenSafetyFilterLevel.BLOCK_LOW_AND_ABOVE,
personFilterLevel: ImagenPersonFilterLevel.ALLOW_ADULT,
}
}
);
// ...
Dart
建立 ImagenModel
執行個體時,請設定 ImagenSafetySettings
。
// Create an `ImagenModel` instance
var model = FirebaseVertexAI.instance.imagenModel(
model: 'IMAGEN_MODEL_NAME',
// Configure image generation safety settings for the model
safetySettings: ImagenSafetySettings(
ImagenSafetyFilterLevel.blockLowAndAbove,
ImagenPersonFilterLevel.allowAdult,
),
);
// ...
其他控管內容產生作業的選項
- 進一步瞭解提示設計,以便影響模型產生符合您需求的輸出內容。
- 設定模型參數,控制模型生成回覆的方式。對於 Gemini 模型,這些參數包括輸出符記數量上限、溫度、topK 和 topP。對於 Imagen 模型,這些參數包括顯示比例、人物生成、浮水印等。
- 設定系統指令,即可引導模型的行為。這項功能就像是「前言」,可在模型向使用者提供任何進一步指示之前新增。
- 傳遞回覆結構定義和提示,即可指定特定輸出結構定義。這項功能最常用於產生 JSON 輸出內容,但也可以用於分類作業 (例如希望模型使用特定標籤或標記時)。