Remove eula
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Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat

AWS Machine Learning

This content handler is then passed when invoking the model, in addition to the aforementioned hyperparameters and custom attributes (EULA acceptance). You should select your hyperparameters based on your use case and test them appropriately. The system prompt informs the model of its role in assisting the user for a particular use case.

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Code Llama 70B is now available in Amazon SageMaker JumpStart

AWS Machine Learning

Accept the End User License Agreement (EULA) and choose Deploy. You can find more information about the model on the Code Llama 70B model card. The following screenshot shows the endpoint settings. You can change the options or use the default ones. This will start the endpoint deployment process, as shown in the following screenshot.

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AI21 Jurassic-1 foundation model is now available on Amazon SageMaker

AWS Machine Learning

Read through the EULA for the model before proceeding. Evaluate the Jurassic-1 Grande model with a test widget. On the Jurassic-1 Grande listing, choose View Model. You will see a description of the model and the tasks that you can perform. Let’s first try out the model for text summarization. Choose Try out model.

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There are two parts to this agreement, Part A and B.

Wired and Dangerous

To keep learning and developing your knowledge base, please explore the additional relevant resources below: When a lender issues a revolving credit account, they assign the borrower a specific credit limit ( agreement ).

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Databricks DBRX is now available in Amazon SageMaker JumpStart

AWS Machine Learning

The Eula value must be explicitly defined as True in order to accept the end-user license agreement (EULA). Similarly, you can deploy DBRX Instruct using its own model ID. You can change these configurations by specifying non-default values in JumpStartModel. Also make sure you have the account-level service limit for using ml.p4d.24xlarge

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Code Llama code generation models from Meta are now available via Amazon SageMaker JumpStart

AWS Machine Learning

Customers must accept the EULA to deploy model visa SageMaker SDK. Custom_attributes used to pass EULA are key/value pairs. The model is deployed in an AWS secure environment and under your VPC controls, helping ensure data security. Code Llama models are discoverable and can be deployed in in US East (N.

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All such use shall be governed by the terms of this Agreement.

Wired and Dangerous

It can be useful to think of a Software License Agreement in a spectrum from an End User License agreement (EULA) to a Software Development Agreement. A Software License Agreement is a contract by which a copyright owner (licensor) licenses the use of a particular piece of software to another (licensee).