Remove Auto-classification Remove Auto-complete Remove Automation Remove Explainability
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Managing Computer Vision Projects with Micha? Tadeusiak 

The MLOps Blog

Michal, to warm you up for all this question-answering, how would you explain to us managing computer vision projects in one minute? You would address it in a completely different way, depending on what’s the problem. Michal: As I explained at some point to me, I wouldn’t say it’s much more complex.

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RPA 2.0: How to achieve the highest level of automation?

Dlabs.ai

They’re actively creating the future of automation in what’s known as Robotic Process Automation 2.0. In this article, we’ll focus on this concept: explaining the term and sharing an example of how we’ve used the technology at DLabs.AI. Source: Grand View Research What is Robotic Process Automation (RPA)? Happy reading!

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning Blog

These generative AI applications are not only used to automate existing business processes, but also have the ability to transform the experience for customers using these applications. When you create an AWS account, you get a single sign-on (SSO) identity that has complete access to all the AWS services and resources in the account.

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DataRobot Notebooks: Enhanced Code-First Experience for Rapid AI Experimentation

DataRobot Blog

DataRobot Notebooks is a fully hosted and managed notebooks platform with auto-scaling compute capabilities so you can focus more on the data science and less on low-level infrastructure management. Auto-scale compute. In the DataRobot left sidebar, there is a table of contents auto-generated from the hierarchy of Markdown cells.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

This includes features for hyperparameter tuning, automated model selection, and visualization of model metrics. Automated pipelining and workflow orchestration: Platforms should provide tools for automated pipelining and workflow orchestration, enabling you to define and manage complex ML pipelines.

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Prioritizing employee well-being: An innovative approach with generative AI and Amazon SageMaker Canvas

AWS Machine Learning Blog

In a single visual interface, you can complete each step of a data preparation workflow: data selection, cleansing, exploration, visualization, and processing. Complete the following steps: Choose Prepare and analyze data. Complete the following steps: Choose Run Data quality and insights report. Choose Create. Choose Create.

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Evaluate the reliability of Retrieval Augmented Generation applications using Amazon Bedrock

AWS Machine Learning Blog

Evaluating this faithfulness, which also serves to measure the presence of hallucinated content, in an automated manner is non-trivial, especially for open-ended responses. Evaluating RAG systems at scale requires an automated approach to extract metrics that are quantitative indicators of its reliability.