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Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator

AWS Machine Learning Blog

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. However, putting an ML model into production at scale is challenging and requires a set of best practices.

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MLOps Is an Extension of DevOps. Not a Fork — My Thoughts on THE MLOPS Paper as an MLOps Startup CEO

The MLOps Blog

By now, everyone must have seen THE MLOps paper. Machine Learning Operations (MLOps): Overview, Definition, and Architecture” By Dominik Kreuzberger, Niklas Kühl, Sebastian Hirschl Great stuff. In this article, I share how our reality as the MLOps tooling company and my personal views on MLOps agree (and disagree) with it.

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How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker

AWS Machine Learning Blog

However, even though the pace of innovation is high, the different teams had developed their own ways of working and were in search of a new MLOps best practice. We decided to put in a joint effort to build a prototype on a best practice for MLOps. This is a guest post written by Axfood AB.

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FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning Blog

In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps). In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps).

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Real-World MLOps Examples: End-To-End MLOps Pipeline for Visual Search at Brainly

The MLOps Blog

In this second installment of the series “Real-world MLOps Examples,” Paweł Pęczek , Machine Learning Engineer at Brainly , will walk you through the end-to-end Machine Learning Operations (MLOps) process in the Visual Search team at Brainly. Disclaimer: This article focuses on the setup of mostly production ML teams at Brainly.

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The Future of Software Engineering: LLMs and Beyond

Heartbeat

From the versatility of Python to the robustness of Java and the web-centric nature of JavaScript , developers can choose from an extensive toolkit. The software development landscape is constantly evolving, driven by technological advancements and the ever-growing demands of the digital age.

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Boost employee productivity with automated meeting summaries using Amazon Transcribe, Amazon SageMaker, and LLMs from Hugging Face

AWS Machine Learning Blog

Generative AI CDK Constructs , an open-source extension of AWS CDK, provides well-architected multi-service patterns to quickly and efficiently create repeatable infrastructure required for generative AI projects on AWS. This can have a negative impact in many ways, from delayed project timelines to loss of customer trust.