templates feature-release-overview-support-guide 
AWS Machine Learning
APRIL 18, 2024
See CHANGELOG for latest features and fixes. Solution overview The LMA sample solution captures speaker audio and metadata from your browser-based meeting app (as of this writing, Zoom and Chime are supported), or audio only from any other browser-based meeting app, softphone, or audio source.
AWS Machine Learning
DECEMBER 14, 2023
Prompt templates and guidelines – Many companies and organizations provide users with a set of predefined prompt templates and guidelines. These templates offer structured formats for writing prompts, making it straightforward to craft effective instructions.
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AWS Machine Learning
DECEMBER 19, 2023
Solution overview In MLOps, a successful journey from data to ML models to recommendations and predictions in business systems and processes involves several crucial steps. The solution takes advantage of AWS native features from Amazon SageMaker , building a flexible and extensible framework around this.
AWS Machine Learning
NOVEMBER 16, 2023
This platform provides capabilities ranging from experimentation, data annotation, training, model deployments, and reusable templates. Also in patient monitoring, image guided therapy, ultrasound and personal health teams have been creating ML algorithms and applications.
AWS Machine Learning
FEBRUARY 29, 2024
Amazon Personalize supports the automatic adjustment of recommendations based on contextual information about your user, such as device type, location, time of day, or other information you provide. Solution overview The following diagram illustrates the solution architecture. No ML expertise is required.
CSM Magazine
MARCH 16, 2021
in 2020 to reach $4.28tn and the number of transactions needing customer support increased from one-in-eight to one-in-six. In response, eCommerce customer service specialist eDesk is supercharging support for its 23,000 agents with AI advancements, expediting the company product roadmap. Global online sales grew 27.6%
AWS Machine Learning
DECEMBER 22, 2023
This solution is intended to act as a launchpad for developers to create their own personalized conversational agents for various applications, such as virtual workers and customer support systems. For more details on supported data sources, refer to Data sources. The agent is equipped with tools that include an Anthropic Claude 2.1
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