The MLOps Blog

FEBRUARY 27, 2023

This article was originally an episode of the MLOps Live , an interactive Q&A session where ML practitioners answer questions from other ML practitioners. Every episode is focused on one specific ML topic, and during this one, we talked to Michal Tadeusiak about managing computer vision projects.

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AWS Machine Learning Blog

MAY 15, 2024

In a March 2023 survey, Amazon Ads found that among advertisers who were unable to build successful campaigns, nearly 75 percent cited building the creative content as one of their biggest challenges. This blog post shares more about how generative AI solutions from Amazon Ads help brands create more visually rich consumer experiences.

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The MLOps Blog

APRIL 20, 2023

With over 3 years of experience in designing, building, and deploying computer vision (CV) models , I’ve realized people don’t focus enough on crucial aspects of building and deploying such complex systems. Hopefully, at the end of this blog, you will know a bit more about finding your way around computer vision projects.

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The MLOps Blog

OCTOBER 3, 2023

This article was originally an episode of the ML Platform Podcast , a show where Piotr Niedźwiedź and Aurimas Griciūnas, together with ML platform professionals, discuss design choices, best practices, example tool stacks, and real-world learnings from some of the best ML platform professionals.

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Unite.AI

SEPTEMBER 14, 2023

Tim helped build, found and scale large parts of Google's AI infrastructure at Google Brain and Core Systems from APIs ( TensorFlow ), Compilers ( XLA & MLIR ) and runtimes for server (CPU/GPU/TPU) and TF Lite (Mobile/Micro/Web), Android ML & NNAPI , large model infrastructure & OSS for billions of users and devices.

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AWS Machine Learning Blog

SEPTEMBER 27, 2023

The Amazon EU Design and Construction (Amazon D&C) team is the engineering team designing and constructing Amazon Warehouses across Europe and the MENA region. These requests range from simple retrieval of baseline design values, to review of value engineering proposals, to analysis of reports and compliance checks.

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The MLOps Blog

JANUARY 5, 2023

This article was originally an episode of the MLOps Live , an interactive Q&A session where ML practitioners answer questions from other ML practitioners. 2 How is visual search different from OCR? This is an interactive Q&A session with our guest today, who’s an expert in building a visual search engine.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

It also provides guidance to tackle common challenges, enabling you to architect your IDP workloads according to best practices. In the project development phase, we recommend adopting a consumption model and adjusting usage dynamically. This post focuses on the Cost Optimization pillar of the IDP solution.

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Sebastian Ruder

JANUARY 19, 2021

 2020 saw the development of ever larger language and dialogue models such as Meena ( Adiwardana et al., 2020 ).  2020 saw the development of ever larger language and dialogue models such as Meena ( Adiwardana et al., Models in this line include the Performer ( Choromanski et al., 2020 ), and GPT-3 ( Brown et al.,

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Heartbeat

DECEMBER 1, 2023

More Techniques to Improve Retrieval Quality Photo by REGINE THOLEN on Unsplash If you’ve ever hit the wall with basic retrievers, it’s time to gear up with some “advanced” retrievers from LangChain. Check out this free LLMOps course from industry expert Elvis Saravia of DAIR.AI! ', '', '4.

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The MLOps Blog

JANUARY 26, 2024

TL;DR Feedback integration is crucial for ML models to meet user needs. A robust ML infrastructure gives teams a competitive advantage. I started my ML journey as an analyst back in 2016. It was an exciting time to be there as the handoff happened, and today, I still draw from this experience. This was my team.)

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AWS Machine Learning Blog

MAY 30, 2023

Since its introduction, we have helped hundreds of customers optimize their workloads, set guardrails, and improve the visibility of their machine learning (ML) workloads’ cost and usage. In this series of posts, we share lessons learned about optimizing costs in Amazon SageMaker.

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The MLOps Blog

MARCH 21, 2023

From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale.

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ODSC - Open Data Science

SEPTEMBER 5, 2023

There’s not enough space in this blog to talk about them all, but we’ve highlighted a few below. Personalizing LLMs with a Feature Store Jim Dowling | CEO | Hopsworks This session will show you how to personalize LLMs using a feature store and prompt engineering. You can find a full list of the first 50 sessions here.

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