AI Research Auto-complete ML Engineer 
Unite.AI
FEBRUARY 11, 2025
Future AGIs proprietary technology includes advanced evaluation systems for text and images, agent optimizers, and auto-annotation tools that cut AI development time by up to 95%. Enterprises can complete evaluations in minutes, enabling AI systems to be optimized for production with minimal manual effort.
AWS Machine Learning Blog
SEPTEMBER 18, 2024
With the SageMaker HyperPod auto-resume functionality, the service can dynamically swap out unhealthy nodes for spare ones to ensure the seamless continuation of the workload. Also included are SageMaker HyperPod cluster software packages, which support features such as cluster health check and auto-resume.
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TheSequence
MAY 24, 2023
data or auto-generated files). cell outputs) for code completion in Jupyter notebooks (see this Jupyter plugin ). Were there any research breakthroughs in StarCoder, or would you say it was more of a crafty ML engineering effort? In addition we labelled a PII dataset for code to train a PII detector.
Pickl AI
JANUARY 23, 2023
Provides modularity as a series of completely configurable, independent modules that can be combined with the fewest restrictions possible. Keras is appropriate for advanced research because it is straightforward to add new modules and is thus easily expandable. Pros It’s very efficient to perform auto ML along with H2O.
AWS Machine Learning Blog
DECEMBER 4, 2024
Managed and secure These applications are fully managed by SageMaker AI, so customers don’t have to worry about provisioning, scaling, and maintaining the underlying infrastructure. SageMaker AI makes sure that sensitive data stays completely within each customer’s SageMaker environment and will never be shared with a third party.
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