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Amazon Bedrock Custom Model Import now generally available

AWS Machine Learning

The context will be coming from your RAG solutions like Amazon Bedrock Knowledgebases. For this example, we take a sample context and add to demo the concept: input_output_demarkation_key = "nn### Response:n" question = "Tell me what was the improved inflow value of cash?" The default import quota for each account is three models.

APIs 139
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Introducing AppHub: Inbenta’s New Integrations Portal

Inbenta

A ‘Try it now’ button to automatically create a test integration in the user’s Inbenta account so the user can test and try it at their own pace. An ‘Ask for a demo’ button to send a demo request to the relevant Account Manager, so a full demo can be scheduled. A large array of possibilities. But there is more.

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Streamline Sales Processes with Enterprise CPQ

Cincom

Integration with Existing Systems: APIs facilitate data sharing between CPQ and other core platforms like CRM, ERP, accounting, e-commerce, and more. Together, this enables the coordination of the dispersed teams necessary for serving massive multinational accounts. CTA: Schedule a demo FAQs What does CPQ software do?

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Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows

AWS Machine Learning

Instructions – The following are some examples from the design instructions: Header Design: - Choose an attention-grabbing background color and font that aligns with the client's industry. Prerequisites For this post, you need the following prerequisites: An AWS account. The AWS Command Line Interface (AWS CLI) installed.

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EVERYTHING YOU NEED TO KNOW ABOUT STIR/SHAKEN

Hodusoft

In later years, STIR/SHAKEN was developed jointly by the SIP Forum and the Alliance for Telecommunications Industry Solutions (ATIS) to efficiently implement the Internet Engineering Task Force (IETF). If you want to know more about our STIR/SHAKEN framework, contact us today to get a free demo. Ask for a Free demo!

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Amazon SageMaker Studio Lab continues to democratize ML with more scale and functionality

AWS Machine Learning

We made it simple to get started with just an email address, without the need for installs, setups, credit cards, or an AWS account. Going forward every customer be required to link their account to a mobile phone number. I’ve used it for multiple demos with customers and partners, and the response has been overwhelmingly favorable.”.