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Announcing managed MCP servers with Unity Catalog and Mosaic AI Integration

databricks

This is an important step forward because it gives LLMs the context they need to take actions in a more natural form.

AI 172
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Enhance speech synthesis and video generation models with RLHF using audio and video segmentation in Amazon SageMaker

AWS Machine Learning Blog

Make sure you’re updating the data model ( updateTrackListData function) to handle your custom fields. This is particularly useful for automation or when you need to create multiple jobs. val(option).text(option)); text(option)); }); // Example: Adding a checkbox for quality issues var qualityCheck = $(' ').attr({ append(qualityCheck).append(qualityLabel));

AWS 102
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Improve governance of models with Amazon SageMaker unified Model Cards and Model Registry

AWS Machine Learning Blog

risk_rating=RiskRatingEnum.LOW, explanations_for_risk_rating="Just an example.", ) business_details = BusinessDetails( business_problem="The business problem that your model is used to solve.", business_stakeholders="The stakeholders who have the interest in the business that your model is used for.",

ML 113
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How to Refresh a Single Table in a Power BI Semantic Model

phData

You should have at least Contributor access to the workspace Download SQL Server Management Studio Step-by-Step Guide for Refreshing a Single Table in Power BI Semantic Model Using a demo data model, let’s walk through how to refresh a single table in a Power BI semantic model. A window will open.

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The GenAI Strategy Playbook

phData

To tackle the signal-versus-noise problem, this deep dive covers three things: How GenAI productivity works and which bottlenecks keep clever demos from becoming real-world value. In turn, the same will happen in data engineering. How new skills, roles, and workflows turn GenAI outputs into scalable, better products.

ML 52
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The Blueprint for Scalable AI Agents — Insights from Agentic AI Summit Week 1

ODSC - Open Data Science

If you want to move from demo to production, you need to treat agents like software — modular, observable, testable, and designed to evolve.” The session is both inspirational and tactical, aimed at helping developers think like engineers, not just hackers, when working with agentic systems. “If

AI 52
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Deploying Gen AI in Production with NVIDIA NIM & MLRun

Iguazio

We introduce their new solution model deployment - NVIDIA NIM. Then, we show how to use NVIDIA NIM with MLRun to productize gen AI applications at scale and reduce risks , including a demo of a multi-agent banking chatbot. When you need to select from a variety of pre-built gen Al apps and demo/customize them. Key steps: 1.

AI 52