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…
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…
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…
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…
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…
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…
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…
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…
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…