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.

DevOps 98

DevOps Metadata Auto-complete Automation 98

AWS Machine Learning Blog

JANUARY 21, 2025

Application Auto Scaling is enabled on AWS Lambda to automatically scale Lambda according to user interactions. Prerequisites The following prerequisites need to be completed before building the solution. Integration of Lambda with Application Auto Scaling is beyond the scope of this post.

Generative AI 82

Generative AI Auto-complete Responsible AI Automation 82

AWS Machine Learning Blog

JANUARY 5, 2024

Data science and DevOps teams may face challenges managing these isolated tool stacks and systems. AWS also helps data science and DevOps teams to collaborate and streamlines the overall model lifecycle process. The suite of services can be used to support the complete model lifecycle including monitoring and retraining ML models.

Data Science 132

Data Science Data Drift DevOps Auto-complete 132

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.

DevOps 101

DevOps ML Engineer ML Metadata 101

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.

Generative AI 144

Generative AI Auto-complete LLM DevOps 144

AWS Machine Learning Blog

MAY 7, 2024

They are designed for real-time, interactive, and low-latency workloads and provide auto scaling to manage load fluctuations. Limitations This solution has the following limitations: The model provides high-accuracy completions for English language. Mateusz Zaremba is a DevOps Architect at AWS Professional Services.

Automation 129

Automation Auto-complete DevOps UX Design 129

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. Model monitoring tools will merge with the DevOps monitoring stack. Not a fork.

DevOps 59

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). Later, the auto-shutdown script will run the s3 cp command to download the extension file from the S3 bucket on Jupyter Server start-ups.

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Auto-complete Machine Learning ML DevOps 120

AWS Machine Learning Blog

OCTOBER 18, 2023

This post details how Purina used Amazon Rekognition Custom Labels , AWS Step Functions , and other AWS Services to create an ML model that detects the pet breed from an uploaded image and then uses the prediction to auto-populate the pet attributes. Start the model version when training is complete.

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Auto-complete Auto-classification Machine Learning ML 120

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. Mintlify Mintlify is a time-saving tool that auto-generates code documentation directly in your favorite code editor.

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. Mintlify Mintlify is a time-saving tool that auto-generates code documentation directly in your favorite code editor.

Artificial Intelligence 113

Artificial Intelligence Artificial Intelligence AI Tools Auto-complete 113

AWS Machine Learning Blog

JUNE 29, 2023

model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True, quantization_config=bnb_config, device_map="auto") With Hugging Face’s PEFT library, you can freeze most of the original model weights and replace or extend model layers by training an additional, much smaller, set of parameters.

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Auto-complete Machine Learning Large Language Models ML 141

AWS Machine Learning Blog

JUNE 11, 2024

Launch the instance using Neuron DLAMI Complete the following steps: On the Amazon EC2 console, choose your desired AWS Region and choose Launch Instance. You can update your Auto Scaling groups to use new AMI IDs without needing to create new launch templates or new versions of launch templates each time an AMI ID changes.

Deep Learning 121

Deep Learning ML Automation Auto-complete 121

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. We load tested it with Locust using five g4dn.2xlarge

Deep Learning 119

Deep Learning Auto-complete Algorithm ML 119

AWS Machine Learning Blog

MAY 31, 2024

It’s built on causal decoder-only architecture, making it powerful for auto-regressive tasks. After deployment is complete, you will see that an endpoint is created. His area of focus is AI for DevOps and machine learning. trillion token dataset primarily consisting of web data from RefinedWeb with 11 billion parameters.

Python 119

Python Machine Learning Auto-classification ML 119

AWS Machine Learning Blog

NOVEMBER 9, 2023

Create a KMS key in the dev account and give access to the prod account Complete the following steps to create a KMS key in the dev account: On the AWS KMS console, choose Customer managed keys in the navigation pane. Choose Create key. For Key type , select Symmetric. For Script Path , enter Jenkinsfile. Choose Save.

Data Drift 122

Data Drift Auto-complete ML Automation 122

Mlearning.ai

MAY 3, 2023

autogpt : Auto-GPT is an “Autonomous AI agent” that given a goal in natural language, will allow Large Language Models (LLMs) to think, plan, and execute actions for us autonomously. The complete code of the APP can be found here. It is built on top of OpenAI’s Generative Pretrained Transformer (GPT-3.5 If you liked the blog post pls.

Large Language Models 52

Large Language Models Python Auto-complete Natural Language Processing 52

The MLOps Blog

JUNE 27, 2023

Can you see the complete model lineage with data/models/experiments used downstream? Some of its features include a data labeling workforce, annotation workflows, active learning and auto-labeling, scalability and infrastructure, and so on. Is it accessible from your language/framework/infrastructure, framework, or infrastructure?

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

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 126

Generative AI Auto-complete Auto-classification Deep Learning 126

Unite.AI

DECEMBER 6, 2024

Nerdios advanced auto-scaling feature is central to its cost-saving capabilities. Nerdios auto-scaling capabilities are particularly beneficial, enabling enterprises to dynamically adjust resources based on real-time business needs. What role does AI play in Nerdios auto-scaling and cost optimization features?

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Auto-complete Automation ESG DevOps 130

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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Auto-complete Generative AI DevOps AI 106

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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Auto-complete Machine Learning Generative AI Large Language Models 109

How to Learn Machine Learning

APRIL 10, 2025

Customers choose AWS SageMaker due to its sped-up operations alongside scalability, along with simplified usability, yet they build custom ML to obtain complete control, case-specific flexibility, along with the potential for individual optimization. AWS SageMaker: The Managed ML Powerhouse What is AWS SageMaker? What is a Custom ML Pipeline?

ML 59

ML DevOps Auto-complete Machine Learning 59

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. We use Karpenter as the cluster auto scaler. He joined the company with previous Platform, Kubernetes, DevOps, and Big Data knowledge and was training LLMs from scratch.

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Auto-complete DevOps AI AI 67

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 110

Deep Learning Neural Network Explainability AI 110