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Amazon SageMaker JumpStart

Discover how Amazon Ads developed an image creation feature powered by generative AI, utilizing Amazon SageMaker.

Amazon Ads provides advertisers with the opportunity to reach millions of potential customers in more effective and innovative ways. In recent years, Amazon Ads has capitalized on technological advancements to help its users create more impactful ads. One significant advancement has been the application of artificial intelligence (AI) in ad creation. One of the major challenges…

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Boost client interaction with the adaptation of LLM through no-code using Amazon’s SageMaker Canvas and SageMaker JumpStart.

Amazon SageMaker Canvas and Amazon SageMaker JumpStart have brought a new level of accessibility to fine-tuning large language models (LLMs), allowing businesses to tailor customer experiences precisely to their unique brand voice. No coding is needed for this process, as SageMaker Canvas provides a user-friendly, point-and-click interface. This not only allows faster operation but also…

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Construct a text classification model using Hugging Face in Amazon SageMaker JumpStart.

Amazon SageMaker JumpStart provides built-in algorithms, pre-trained models, and pre-built solution templates to assist data scientists and machine learning practitioners in quickly training and deploying ML models. This post looks at how to use the text classification and fill-mask models on Hugging Face with SageMaker JumpStart for text classification on a custom dataset. The tutorial…

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AWS Inferentia and AWS Trainium provide the most economical solution for deploying Llama 3 models via Amazon SageMaker JumpStart.

Meta Llama 3 inference is now available on Amazon Web Services (AWS) Trainium and AWS Inferentia-based instances in Amazon SageMaker JumpStart. Meta Llama 3 models are pre-trained generative text models that can be used for a range of applications, including chatbots and AI assistants. AWS Inferentia and Trainium, used with Amazon EC2 instances, provide a…

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Cohere Command R and R+ are now accessible on Amazon SageMaker JumpStart.

Cohere has teamed up with Amazon Web Services (AWS) to offer its Command R and R+ models on SageMaker JumpStart, a suite of capabilities of the SageMaker end-to-end machine learning (ML) platform. Both models are designed to excel at real-world enterprise-level applications and are optimized for retrieval-augmented generation (RAG) workflows – tasks that involve conversational…

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Command R and R+ from Cohere are now accessible on Amazon SageMaker JumpStart.

Cohere, in collaboration with Amazon, has made available its foundational models of Command R and R+ on Amazon SageMaker JumpStart, a system allowing users to deploy and run inferences. These models are the latest in retrieval augmented generation (RAG), delivering enterprise-grade workloads through efficient, accurate, and scalable language models. The tool supports multiple languages, including…

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Boost LLM efficiency by integrating human and AI responses on Amazon SageMaker for Amazon Engineering.

Amazon’s EU Design and Construction (Amazon D&C) team is in charge of designing and constructing Amazon warehouses. They have to sift through a large number of documents and information to ensure the warehouse designs meet high standards. As part of a pilot scheme, Amazon D&C implemented an AI-powered solution built on Amazon SageMaker to help…

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Enhance the performance of LLM with inputs from human and AI on Amazon SageMaker, as a part of Amazon Engineering.

The Amazon EU Design and Construction (D&C) team has developed an artificial intelligence (AI) powered solution that improves the accuracy and efficiency of the construction process of Amazon warehouses. This solution involves a language learning model (LLM) which allows engineers to retrieve relevant information from a large volume of unorganized documents, improving the quality and…

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Slack provides an original and secure AI system, powered by Amazon’s SageMaker JumpStart.

Slack, now part of Salesforce, has joined forces with Amazon SageMaker JumpStart to introduce AI services that will improve data searching, summarization, and security for users. The collaboration involves leveraging SageMaker JumpStart's large language models (LLMs) in a way that data stays within Slack's infrastructure and does not get shared with external model providers. The…

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