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Amazon EC2 DL2q instance for cost-efficient, high-performance AI inference is now generally available

AWS Machine Learning

DL2q instances are the first instances to bring Qualcomm’s artificial intelligent (AI) technology to the cloud. The Qualcomm qaic Python library is a set of APIs that provides support for running inference on the Cloud AI100 accelerator. Use the Session API call to create an instance of session.

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Enterprise Contact Center Solutions: A Game Changer

NobelBiz

We are determined to elevate efficiency as an industry standard by constantly adopting new technology and keeping costs in check. Leveraging cloud-based technology and extensive integrations, Five9 offers a flexible and scalable platform tailored to the unique needs of enterprise clients.

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The Rise of Machine Customers: How to Seamlessly Integrate Services

CSM Magazine

With the advent of advanced technology, the marketplace is witnessing the emergence of machine customers: non-human entities that autonomously engage in transactions much like humans do, from purchasing goods to utilizing services. Below are specific components that facilitate service to this new type of clientele.

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Amazon Rekognition Labels adds 600 new labels, including landmarks, and now detects dominant colors

AWS Machine Learning

The following table shows the labels and confidence scores returned in the API response. Technology and computing – Headphones, Mobile Phone, Tablet Computer, Reading, Laptop, etc. Vehicles and automotive – Truck, Wheel, Tire, Bumper, Car Seat, Car Mirror, etc. The maximum number of dominant colors the API can return is 12.

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Foundational vision models and visual prompt engineering for autonomous driving applications

AWS Machine Learning

For example, we can use an API chain to call an API and invoke an LLM to answer the question based on the API response. We also described how visual chains increase performance over using just one prompt, similar to the LangChain API. His core interests include deep learning and serverless technologies.

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Build taxonomy-based contextual targeting using AWS Media Intelligence and Hugging Face BERT

AWS Machine Learning

For example, education technology companies can use it to map their content to industry taxonomies in order to facilitate adaptive learning that delivers personalized learning experiences based on students’ individual needs. The Amazon Rekognition object label API detects labels in images. CITM maps content to a standard taxonomy.

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Machine Learning with MATLAB and Amazon SageMaker

AWS Machine Learning

It’s heavily used in many industries such as automotive, aerospace, communication, and manufacturing. It can also be used as a standard REST API if deployed together with an AWS Lambda function and API gateway, which can be integrated with any web applications.