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Amazon SageMaker JumpStart

Enhancing the performance of Salesforce Einstein’s code generation model using Amazon SageMaker

This is a joint collaboration post between Salesforce and AWS, in which they discuss how the Salesforce Einstein AI Platform team has utilized Amazon SageMaker to enhance the efficiency and performance of their code generation LLM (Large Language Models) features, known as CodeGen. Salesforce, a cloud-based software company, offers customer relationship management (CRM) software applications focused…

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Improve throughput by almost 2 times and decrease expenses by about 50% for generative AI inference on Amazon SageMaker using the innovative inference optimization toolkit – Segment 1.

Amazon SageMaker has released a new inference optimization toolkit, which significantly shortens the time it takes to enhance generative artificial intelligence (AI) models. The toolkit offers several optimization techniques that can be applied to AI models and validated in just a few simple steps, ultimately reducing costs and boosting performance. It uses methods such as…

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With the new inference optimization toolkit – part 2, increase your generative AI inference’s efficiency by up to 2 times on Amazon SageMaker while cutting down the expenses by almost 50%.

Amazon has launched an inference optimization toolkit as a feature of Amazon SageMaker to help speed up generative artificial intelligence (AI) operations. This tool allows businesses to balance cost-effectiveness and productivity with the use of various optimization techniques. It offers up to twice the throughput and reduces costs by up to 50% for AI models…

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Administer private hub access for Amazon SageMaker JumpStart base models.

Amazon SageMaker JumpStart is a machine learning (ML) platform that offers pre-built solutions and pre-trained models. The platform provides access to hundreds of foundation models (FMs) for various enterprise operations. A critical feature of SageMaker JumpStart is the private hub, which allows an organization to share their models, thereby facilitating the discovery and widespread use…

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Develop RAG applications with Jina Embeddings v2 on Amazon SageMaker JumpStart

Jina AI has developed a new artificial intelligence (AI) model called Jina Embeddings v2 which is now available to customers through Amazon's SageMaker JumpStart. This model allows users to deploy machine learning (ML) solutions with just a few clicks. The model supports a context length of up to 8,192 tokens and can be used in…

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