DevOps Metadata Software Engineer 
Unite.AI
NOVEMBER 20, 2024
These agents perform tasks ranging from customer support to software engineering, navigating intricate workflows that combine reasoning, tool use, and memory. This is where AgentOps comes in; a concept modeled after DevOps and MLOps but tailored for managing the lifecycle of FM-based agents.
The MLOps Blog
JANUARY 23, 2023
Just so you know where I am coming from: I have a heavy software development background (15+ years in software). Lived through the DevOps revolution. Came to ML from software. Founded two successful software services companies. If you’d like a TLDR, here it is: MLOps is an extension of DevOps. Not a fork.
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AWS Machine Learning Blog
DECEMBER 19, 2023
Machine learning operations (MLOps) applies DevOps principles to ML systems. Just like DevOps combines development and operations for software engineering, MLOps combines ML engineering and IT operations.
The MLOps Blog
JUNE 27, 2023
When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. Can you compare images?
Unite.AI
JUNE 24, 2024
It combines principles from DevOps, such as continuous integration, continuous delivery, and continuous monitoring, with the unique challenges of managing machine learning models and datasets. As the adoption of machine learning in various industries continues to grow, the demand for robust MLOps tools has also increased. What is MLOps?
AWS Machine Learning Blog
JUNE 11, 2024
Anant Sharma is a software engineer at AWS Annapurna Labs specializing in DevOps. His primary focus revolves around building, automating and refining the process of delivering software to AWS Trainium and Inferentia customers.
AWS Machine Learning Blog
JULY 8, 2024
The Details tab displays metadata, logs, and the associated training job. He currently serves media and entertainment customers, and has expertise in software engineering, DevOps, security, and AI/ML. Choose the current pipeline run to view its details. To explore more AI use cases, visit the AI Use Case Explorer.
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