APIs Benchmark Events 
AWS Machine Learning
FEBRUARY 12, 2025
Amazon Bedrock , a fully managed service offering high-performing foundation models from leading AI companies through a single API, has recently introduced two significant evaluation capabilities: LLM-as-a-judge under Amazon Bedrock Model Evaluation and RAG evaluation for Amazon Bedrock Knowledge Bases. 0]}-{evaluator_model.split('.')[0]}-{datetime.now().strftime('%Y-%m-%d-%H-%M-%S')}"
AWS Machine Learning
NOVEMBER 15, 2024
Analyst Notes Database Knowledge base containing reports from Analysts on their interpretation and analyis of economic events. Analyst Notes Database This is asking for interpretation of an event, I will look in Analyst Notes. Refer to this documentation for a detailed example of tool use with the Bedrock Converse API.
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AWS Machine Learning
AUGUST 13, 2024
Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case. Whenever a new form is loaded, an event is invoked in Amazon SQS.
Cincom
FEBRUARY 14, 2025
Use APIs and middleware to bridge gaps between CPQ and existing enterprise systems, ensuring smooth data flow. Automate Price Calculations and Adjustments Utilize real-time pricing engines within CPQ to dynamically calculate prices based on market trends, cost fluctuations, and competitor benchmarks.
AWS Machine Learning
FEBRUARY 8, 2023
Although you can integrate the model directly into an application, the approach that works well for production-grade applications is to deploy the model behind an endpoint and then invoke the endpoint via a RESTful API call to obtain the inference. However, you can use any other benchmarking tool. large two-core machine.
AWS Machine Learning
FEBRUARY 24, 2023
Two key distinctions are the low altitude, oblique perspective of the imagery and disaster-related features, which are rarely featured in computer vision benchmarks and datasets. These LADI datasets focus on the Atlantic hurricane seasons and coastal states along the Atlantic Ocean and Gulf of Mexico.
Pointillist
JULY 25, 2018
Thinking in Events. The fundamental data type for customer journey analytics is the event. Regardless of how you might think of data today, in customer journey analytics everything is an event. Treating every change to customer data as an event saves work for data engineers, as no transformation is required.
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