APIs Automotive Metrics 
AWS Machine Learning
MAY 25, 2023
For example, you may want to group similar queries such as “What is Amazon Kendra” and “What is the purpose of Amazon Kendra” together so that you can effectively analyze the metrics and gain a deeper understanding of the data. The Lambda functions upload the search metrics to an Amazon Simple Storage Service (Amazon S3) bucket.
AWS Machine Learning
NOVEMBER 15, 2023
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. The bounding box area thresholds are defined by the Common Objects in Context (COCO) evaluation metrics [Lin et al., It helps chain the data sources and an LLM to produce the output.
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AWS Machine Learning
JULY 3, 2023
ResourceId=resource_id, # Endpoint name ScalableDimension="sagemaker:variant:DesiredInstanceCount", # SageMaker supports only Instance Count PolicyType="TargetTrackingScaling", # 'StepScaling'|'TargetTrackingScaling' TargetTrackingScalingPolicyConfiguration={ "TargetValue": 5.0, # The target value for the metric.
AWS Machine Learning
SEPTEMBER 23, 2022
Bosch is a multinational corporation with entities operating in multiple sectors, including automotive, industrial solutions, and consumer goods. The neural forecasters can be bundled as a single ensemble model, or incorporated individually into Bosch’s model universe, and accessed easily via REST API endpoints.
AWS Machine Learning
NOVEMBER 21, 2023
It’s heavily used in many industries such as automotive, aerospace, communication, and manufacturing. After checking the accuracy metrics for the locally-trained model, we can move the training into Amazon SageMaker. In recent years, MathWorks has brought many product offerings into the cloud, especially on Amazon Web Services (AWS).
AWS Machine Learning
OCTOBER 13, 2022
AWS offers a pre-trained and fully managed AWS AI service called Amazon Rekognition that can be integrated into computer vision applications using API calls and require no ML experience. You just have to provide an image to the Amazon Rekognition API and it can identify the required objects according to pre-defined labels.
AWS Machine Learning
OCTOBER 5, 2022
The decision tree provided the cut-offs for each metric, which we included as rules-based logic in the streaming application. At the end, we found that the LightGBM model worked best with well-calibrated accuracy metrics. To evaluate the performance of the models, we used multiple techniques.
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