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Benchmarking Amazon Nova and GPT-4o models with FloTorch

AWS Machine Learning Blog

simple Music Can you tell me how many grammies were won by arlo guthrie until 60th grammy (2017)? Both types of questions are common from users, and a typical Google search for the query such as Can you tell me how many grammies were won by arlo guthrie until 60th grammy (2017)? will not give you the correct answer (one Grammy).

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ML Collaboration: Best Practices From 4 ML Teams

The MLOps Blog

The onset of the pandemic has triggered a rapid increase in the demand and adoption of ML technology. Building ML team Following the surge in ML use cases that have the potential to transform business, the leaders are making a significant investment in ML collaboration, building teams that can deliver the promise of machine learning.

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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning Blog

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. The structured dataset includes order information for products spanning from 2010 to 2017.

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Google Research, 2022 & beyond: ML & computer systems

Google Research AI blog

Great machine learning (ML) research requires great systems. In this post, we provide an overview of the numerous advances made across Google this past year in systems for ML that enable us to support the serving and training of complex models while easing the complexity of implementation for end users.

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How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

Flipboard

The SnapLogic Intelligent Integration Platform (IIP) enables organizations to realize enterprise-wide automation by connecting their entire ecosystem of applications, databases, big data, machines and devices, APIs, and more with pre-built, intelligent connectors called Snaps.

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Analyzing the history of Tableau innovation

Tableau

Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. In 2004, Tableau got both an initial series A of venture funding and Tableau’s first EOM contract with the database company Hyperion—that’s when I was hired. Release v1.0

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Announcing the First Speakers for ODSC West 2025

ODSC - Open Data Science

Prior to starting LangChain, he led the ML team at Robust Intelligence (an MLOps company focused on testing and validation of machine learning models), led the entity linking team at Kensho (a fintech startup), and studied stats and CS at Harvard. Emmanuel has worked on ML pipelines since 2017 at Instacart and Cruise.