AWS Machine Learning Blog

NOVEMBER 21, 2023

Amazon Music uses the power of AI to accomplish this. However, optimizing the customer experience while managing cost of training and inference of AI models that power the search bar’s capabilities, like real-time spellcheck and vector search, is difficult during peak traffic times.

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AWS Machine Learning Blog

NOVEMBER 7, 2023

About The Authors Jin Tan Ruan is a Prototyping Developer within the AWS Industries Prototyping and Customer Engineering (PACE) team, specializing in NLP and generative AI. He is passionate about a range of topics, including cloud security, DevOps, and AI/ML, and can be usually found tinkering with these technologies.

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Flipboard

NOVEMBER 24, 2023

Moreover, the JuMa infrastructure, which is based on AWS serverless and managed services, helps reduce operational overhead for DevOps teams and allows them to focus on enabling use cases and accelerating AI innovation at BMW Group. Marinus Krommenhoek is a Senior Cloud Solution Architect and a Software Developer at BMW Group.

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ML DevOps Data Scientist ML Engineer 95

Towards AI

AUGUST 16, 2023

Pietro Jeng on Unsplash MLOps is a set of methods and techniques to deploy and maintain machine learning (ML) models in production reliably and efficiently. Thus, MLOps is the intersection of Machine Learning, DevOps, and Data Engineering (Figure 1). Background Saying that MLOps is in a state of flux would be an understatement [7].

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AWS Machine Learning Blog

FEBRUARY 1, 2024

She has a diverse background, having worked in many technical disciplines, including software development, agile leadership, and DevOps, and is an advocate for women in tech. The following are some considerations when using RAG: Setting appropriate timeouts is important to the customer experience.

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Viso.ai

MARCH 29, 2024

MLflow is an open-source platform designed to manage the entire machine learning lifecycle, making it easier for ML Engineers, Data Scientists, Software Developers, and everyone involved in the process. MLflow can be seen as a tool that fits within the MLOps (synonymous with DevOps) framework.

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Viso.ai

MARCH 1, 2023

The value proposition of disruptive low-code AI technology gives companies the flexibility and agility to adapt to the fast-changing industry reality while accelerating the time-to-market of new applications to keep up with or change markets. The transformative potential of low-code AI development is evident.

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IBM Journey to AI blog

MARCH 6, 2024

Software development is one arena where we are already seeing significant impacts from generative AI tools. A McKinsey study claims that software developers can complete coding tasks up to twice as fast with generative AI. A burned-out developer is usually an unproductive one.

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Marktechpost

JULY 17, 2023

The advantages of using synthetic data include easing restrictions when using private or controlled data, adjusting the data requirements to specific circumstances that cannot be met with accurate data, and producing datasets for DevOps teams to use for software testing and quality assurance. How Important Is Synthetic Data?

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The MLOps Blog

MARCH 21, 2023

Version control for code is common in software development, and the problem is mostly solved. However, machine learning needs more because so many things can change, from the data to the code to the model parameters and other metadata. . My Story DevOps Engineers Who they are?

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