Remove Auto-classification Remove Data Drift Remove Machine Learning
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Top MLOps Tools Guide: Weights & Biases, Comet and More

Unite.AI

Machine Learning Operations (MLOps) is a set of practices and principles that aim to unify the processes of developing, deploying, and maintaining machine learning models in production environments. Types of MLOps Tools MLOps tools play a pivotal role in every stage of the machine learning lifecycle.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

How to evaluate MLOps tools and platforms Like every software solution, evaluating MLOps (Machine Learning Operations) tools and platforms can be a complex task as it requires consideration of varying factors. Pay-as-you-go pricing makes it easy to scale when needed.

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How Kakao Games automates lifetime value prediction from game data using Amazon SageMaker and AWS Glue

AWS Machine Learning Blog

Statistical methods and machine learning (ML) methods are actively developed and adopted to maximize the LTV. In this post, we share how Kakao Games and the Amazon Machine Learning Solutions Lab teamed up to build a scalable and reliable LTV prediction solution by using AWS data and ML services such as AWS Glue and Amazon SageMaker.

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How to Practice Data-Centric AI and Have AI Improve its Own Dataset

ODSC - Open Data Science

Be sure to check out his talk, “ How to Practice Data-Centric AI and Have AI Improve its Own Dataset ,” there! Machine learning models are only as good as the data they are trained on. Even with the most advanced neural network architectures, if the training data is flawed, the model will suffer.

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Smart Factories: Artificial Intelligence and Automation for Reduced OPEX in Manufacturing

DataRobot Blog

With Snowflake’s newest feature release, Snowpark , developers can now quickly build and scale data-driven pipelines and applications in their programming language of choice, taking full advantage of Snowflake’s highly performant and scalable processing engine that accelerates the traditional data engineering and machine learning life cycles.

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LLMOps: What It Is, Why It Matters, and How to Implement It

The MLOps Blog

Machine Learning Operations (MLOps) vs Large Language Model Operations (LLMOps) LLMOps fall under MLOps (Machine Learning Operations). Many MLOps best practices apply to LLMOps, like managing infrastructure, handling data processing pipelines, and maintaining models in production. Specifically focused on LLMs.

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Creating An Information Edge With Conversational Access To Data

Topbots

Data Any machine learning endeavour starts with data, so we will start by clarifying the structure of the input and target data that are used during training and prediction. The manual collection of training data for Text2SQL is particularly tedious.