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SenseNova, backed by SenseTime's robust infrastructure, offers efficient and user-friendly full-stack large model services.

Supported Models

SenseChat 5.5

128K

Maximum Context Length

128K

Maximum Output Length

--

Input Price

$5.60

Output Price

$14.01

SenseChat 5.0 Turbo

SenseChat-Turbo

32K

Maximum Context Length

32K

Maximum Output Length

--

Input Price

$0.28

Output Price

$0.70

SenseChat 5.0 Cantonese

SenseChat-5-Cantonese

32K

Maximum Context Length

32K

Maximum Output Length

--

Input Price

$3.78

Output Price

$3.78

SenseChat 4.0 128K

128K

Maximum Context Length

128K

Maximum Output Length

--

Input Price

$8.40

Output Price

$8.40

Using SenseNova in LobeChat

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SenseNova is a large model system introduced by SenseTime, aimed at promoting the rapid iteration and practical application of artificial intelligence (AI) technology.

This article will guide you on how to use SenseNova in LobeChat.

Step 1: Obtain the API Key for SenseNova

Register and log in to the SenseCore Development Platform.
Locate the SenseNova Large Model in the product menu and activate the service.

Activate SenseNova Large Model

Go to the AccessKey Management page.
Create an access key.
Save the Access Key ID and secret in the pop-up window.

Save Access Key

Please keep the access key from the pop-up window secure, as it will only appear once. If you lose it, you will need to create a new access key.

Step 2: Configure SenseNova in LobeChat

Access the Settings interface on LobeChat.
Find the setting for SenseNova under Language Models.

Enter Access Key

Input the obtained Access Key ID and Access Key Secret.
Choose a SenseNova model for your AI assistant and start the conversation.

Choose SenseNova model and start conversation

During usage, you may need to pay the API service provider, please refer to the relevant fee policy for SenseNova.

You can now have conversations using the models provided by SenseNova in LobeChat.

Related Providers

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Bedrock is a service provided by Amazon AWS, focusing on delivering advanced AI language and visual models for enterprises. Its model family includes Anthropic's Claude series, Meta's Llama 3.1 series, and more, offering a range of options from lightweight to high-performance, supporting tasks such as text generation, conversation, and image processing for businesses of varying scales and needs.

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