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MLFlow Mastery: A Complete Guide to Experiment Tracking and Model Management

KDnuggets

By Jayita Gulati on June 23, 2025 in Machine Learning Image by Editor (Kanwal Mehreen) | Canva Machine learning projects involve many steps. It also works with cloud services like AWS SageMaker. She holds a Masters degree in Computer Science from the University of Liverpool. MLFlow is a tool that makes this easier.

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Maybe Physics-Based AI Is the Right Approach: Revisiting the Foundations of Intelligence

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Discord Linkedin Reddit Twitter Home Open Source/Weights Enterprise AI AI Tools & Agents miniCON 2025 Promote Your AI Solution Search News Hub My account Get into your account. Sample Efficiency: Models exploiting physical priors achieve more with less data, a critical advantage in domains like healthcare and computational science.

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Build AWS architecture diagrams using Amazon Q CLI and MCP

AWS Machine Learning Blog

Creating professional AWS architecture diagrams is a fundamental task for solutions architects, developers, and technical teams. By using generative AI through natural language prompts, architects can now generate professional diagrams in minutes rather than hours, while adhering to AWS best practices.

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Unlock cost savings with the new scale down to zero feature in SageMaker Inference

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Today at AWS re:Invent 2024, we are excited to announce a new feature for Amazon SageMaker inference endpoints: the ability to scale SageMaker inference endpoints to zero instances. The following code creates two scheduled actions for the inference component during 2024–2025. import json scheduler = boto3.client('scheduler')

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Amazon Bedrock Model Distillation: Boost function calling accuracy while reducing cost and latency

AWS Machine Learning Blog

We recommend referring to the Submit a model distillation job in Amazon Bedrock in the official AWS documentation for the most up-to-date and comprehensive information. You can track these job status details in both the AWS Management Console and AWS SDK. Prior to joining AWS, he obtained his Ph.D. Notably, the Llama 3.1

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Data Scientist Job Description – What Companies Look For in 2025

Pickl AI

Summary: In 2025, data scientists in India will be vital for data-driven decision-making across industries. It highlights the growing opportunities and challenges in India’s dynamic data science landscape. Cloud Platforms: AWS, Microsoft Azure, Google Cloud Platform. Databases: MySQL, PostgreSQL, MongoDB. Master’s and Ph.D.:

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Unlocking complex problem-solving with multi-agent collaboration on Amazon Bedrock

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The research team at AWS has worked extensively on building and evaluating the multi-agent collaboration (MAC) framework so customers can orchestrate multiple AI agents on Amazon Bedrock Agents. Assertions : User is informed about the weather forecast for Las Vegas tomorrow, January 5, 2025. She obtained her Ph.D.

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