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Is your organisation reaping the benefits from API?

Spearline

"We used the Spearline API since day 1. In 2017, Forbes referred to it as “the year of the API economy” and said CIOs must create and launch new business models faster to keep their companies competitive; and APIs are the fuel helping to make this happen. How can API improve my business? Automation.

APIs 40
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Is your model good? A deep dive into Amazon SageMaker Canvas advanced metrics

AWS Machine Learning

It also enables you to evaluate the models using advanced metrics as if you were a data scientist. In this post, we show how a business analyst can evaluate and understand a classification churn model created with SageMaker Canvas using the Advanced metrics tab. The F1 score provides a balanced evaluation of the model’s performance.

Metrics 77
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Create a Generative AI Gateway to allow secure and compliant consumption of foundation models

AWS Machine Learning

A Generative AI Gateway can help large enterprises control, standardize, and govern FM consumption from services such as Amazon Bedrock , Amazon SageMaker JumpStart , third-party model providers (such as Anthropic and their APIs), and other model providers outside of the AWS ecosystem. What is a Generative AI Gateway?

APIs 91
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Understanding Spearline Post Dial Delay (PDD)

Spearline

.” Bandwidth , a leading US carrier who offers communication APIs that allow companies to embed voice calling and messaging capability into their applications, says that “PDD occurs because each carrier can take a few seconds to acknowledge their ability to complete the call.”

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Securing MLflow in AWS: Fine-grained access control with AWS native services

AWS Machine Learning

In this post, we address these limitations by implementing the access control outside of the MLflow server and offloading authentication and authorization tasks to Amazon API Gateway , where we implement fine-grained access control mechanisms at the resource level using Identity and Access Management (IAM). Adds an IAM authorizer.

APIs 68
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Technology Innovation Institute trains the state-of-the-art Falcon LLM 40B foundation model on Amazon SageMaker

AWS Machine Learning

LLM training on SageMaker SageMaker is a collection of managed APIs for developing, training, tuning, and hosting machine learning (ML) models, including LLMs. TII used transient clusters provided by the SageMaker Training API to train the Falcon LLM, up to 48 ml.p4d.24xlarge 24xlarge instances, cumulating in 384 NVIDIA A100 GPUs.

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Using Voice Communication to Create Lasting Customer Impressions

aircall

A Brief History of Telecommunication. 2015 — An open API (applied programming interface) technology was invented to allow software applications to sync and share data between them. Telecommunication Now. Use call center analytics to monitor your first-call resolution rate and other metrics.

voip 62