AWS Machine Learning Blog

MARCH 10, 2025

Visit octus.com to learn how we deliver rigorously verified intelligence at speed and create a complete picture for professionals across the entire credit lifecycle. The use of multiple external cloud providers complicated DevOps, support, and budgeting. Follow Octus on LinkedIn and X.

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AWS Machine Learning Blog

SEPTEMBER 4, 2024

DevOps engineers often use Kubernetes to manage and scale ML applications, but before an ML model is available, it must be trained and evaluated and, if the quality of the obtained model is satisfactory, uploaded to a model registry. SageMaker simplifies the process of managing dependencies, container images, auto scaling, and monitoring.

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The MLOps Blog

JANUARY 23, 2023

Lived through the DevOps revolution. If you’d like a TLDR, here it is: MLOps is an extension of DevOps. Not a fork: – The MLOps team should consist of a DevOps engineer, a backend software engineer, a data scientist, + regular software folks. We need both automated continuous monitoring AND periodic manual inspection.

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DevOps Metadata Software Engineer Data Scientist 59

AWS Machine Learning Blog

SEPTEMBER 11, 2023

IaC ensures that customer infrastructure and services are consistent, scalable, and reproducible while following best practices in the area of development operations (DevOps). You can use Lifecycle Configurations to automate customization for your Studio environment. In the navigation bar, in the Region selector, choose US East (N. .

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Marktechpost

DECEMBER 4, 2023

From completing entire lines of code and functions to writing comments and aiding in debugging and security checks, Copilot serves as an invaluable tool for developers. Trained on a large open-source code dataset, it suggests snippets to full functions, automating repetitive tasks and enhancing code quality.

AI Tools 134

AI Tools Auto-complete Artificial Intelligence Artificial Intelligence 134

Marktechpost

MAY 3, 2024

From completing entire lines of code and functions to writing comments and aiding in debugging and security checks, Copilot serves as an invaluable tool for developers. Trained on a large open-source code dataset, it suggests snippets to full functions, automating repetitive tasks and enhancing code quality.

Artificial Intelligence 113

Artificial Intelligence Artificial Intelligence AI Tools Auto-complete 113

AWS Machine Learning Blog

JUNE 11, 2024

This feature streamlines the process of launching new instances with the most up-to-date Neuron SDK, enabling you to automate your deployment workflows and make sure you’re always using the latest optimizations. AWS Systems Manager Parameter Store support Neuron 2.18 neuronx-py310-sdk2.18.2-ubuntu20.04 COPY train.py /train.py

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Deep Learning ML Automation Auto-complete 123

AWS Machine Learning Blog

MAY 16, 2024

When training is complete (through the Lambda step), the deployed model is updated to the SageMaker endpoint. When the preprocessing batch was complete, the training/test data needed for training was partitioned based on runtime and stored in Amazon S3.

Deep Learning 122

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AWS Machine Learning Blog

NOVEMBER 9, 2023

Automated retraining mechanism – The training pipeline built with SageMaker Pipelines is triggered whenever a data drift is detected in the inference pipeline. It also provides select access to related services, such as AWS Application Auto Scaling , Amazon S3, Amazon Elastic Container Registry (Amazon ECR), and Amazon CloudWatch Logs.

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Data Drift Auto-complete ML Automation 122

The MLOps Blog

JUNE 27, 2023

This includes features for hyperparameter tuning, automated model selection, and visualization of model metrics. Automated pipelining and workflow orchestration: Platforms should provide tools for automated pipelining and workflow orchestration, enabling you to define and manage complex ML pipelines.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

AWS Machine Learning Blog

OCTOBER 18, 2023

Purina used artificial intelligence (AI) and machine learning (ML) to automate animal breed detection at scale. Developing a custom model to analyze images is a significant undertaking that requires time, expertise, and resources, often taking months to complete. Start the model version when training is complete.

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AWS Machine Learning Blog

JULY 16, 2024

It manages the availability and scalability of the Kubernetes control plane, and it provides compute node auto scaling and lifecycle management support to help you run highly available container applications. Training Now that our data preparation is complete, we’re ready to train our model with the created dataset.

Generative AI 125

Generative AI Auto-complete Auto-classification Deep Learning 125

IBM Journey to AI blog

MARCH 6, 2024

A McKinsey study claims that software developers can complete coding tasks up to twice as fast with generative AI. DevOps Research and Assessment metrics (DORA), encompassing metrics like deployment frequency, lead time and mean time to recover , serve as yardsticks for evaluating the efficiency of software delivery.

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Generative AI DevOps Software Development Auto-complete 321

Unite.AI

DECEMBER 10, 2024

Gentrace , a cutting-edge platform for testing and monitoring generative AI applications, has announced the successful completion of an $8 million Series A funding round led by Matrix Partners , with contributions from Headline and K9 Ventures. It has drastically improved our ability to predict the impact of changes in our AI models.

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Generative AI Auto-complete LLM DevOps 147

Unite.AI

DECEMBER 6, 2024

Tape backups were unreliable and inefficient, and I envisioned a more streamlined, automated solution. This led to the founding of Nerdio, a platform that automates cloud environments specifically for MSPs, empowering them to deliver cloud services without needing deep cloud expertise. We also make tenant management more efficient.

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AWS Machine Learning Blog

NOVEMBER 6, 2024

time.sleep(10) The transcription job will take a few minutes to complete. When the job is complete, you can inspect the transcription output and check the plain text transcript that was generated (the following has been trimmed for brevity): # Get the Transcribe Output JSON file s3 = boto3.client('s3') Current status is {job_status}.")

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AWS Machine Learning Blog

JANUARY 9, 2025

Amazon Q Business is a generative AI-powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. Prerequisites Complete the following prerequisites: Have a valid AWS account. Upload the sample articles file to the S3 bucket.

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AWS Machine Learning Blog

JANUARY 9, 2025

This process is like assembling a jigsaw puzzle to form a complete picture of the malwares capabilities and intentions, with pieces constantly changing shape. The meticulous nature of this process, combined with the continuous need for scaling, has subsequently led to the development of the auto-evaluation capability.

Deep Learning 112

Deep Learning Neural Network Explainability AI 112

AWS Machine Learning Blog

FEBRUARY 7, 2025

Deployment is fully automated with GitLab CI/CD pipelines, Terraform, and Helm, requiring less than an hour to complete without any downtime. It abstracts the infrastructure automation and automatically creates an Amazon Simple Queue Service (Amazon SQS) (5) processing queue, which acts as a processing buffer.

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