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action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home4/scienrds/scienceandnerds/wp-includes/functions.php on line 6114Source:https:\/\/techcrunch.com\/2023\/05\/10\/google-launches-ml-hub-to-help-ai-developers-train-and-deploy-their-models\/<\/a><\/br> At its I\/O developers conference, Google today announced its new ML Hub<\/a>, a one-stop destination for developers who want to get more guidance on how to train and deploy their ML models, no matter whether they are in the early stages of their AI career or seasoned professionals.<\/p>\n \u201cWe talk about this concept of democratizing machine learning and really making it more accessible, so something that we\u2019re pretty excited about is Google has a bit of a sprawling set of open-source technologies that cover many different assets [\u2026] We want to make it much, much easier to understand how they fit together and actually help folks get up and running,\u201d said Alex Spinelli, Google\u2019s VP\u00a0 of product management for machine learning. The idea here, he said, is to give developers a landing page where they can basically look at what kind of model they want to generate, based on the data they have, and then get step-by-step directions for how to think about deploying those models.<\/p>\n The company is launching this platform with an initial set of toolkits that covers a set of common use cases, with plans to regularly update these and launch new ones in a steady cadence. Some of the early toolkits, for example, can help developers build text classifiers using Keras or take large language models and run them on Android with Keras and TensorFlow Lite.<\/p>\n As Spinelli rightly noted, generative AI may be getting all of the hype right now, but machine learning is a large space that covers a wide range of types of models and technology.<\/p>\n \u201cThere\u2019s amazing things going on in computer vision and facial recognition and recommendation systems and relevance ranking of content and those kinds of things \u2014 clustering content \u2014 all this stuff. We really don\u2019t want to leave anything behind and want to make sure we can actually help developers and researchers have the right set of tools and technologies for their particular use case,\u201d Spinelli noted.<\/p>\n He noted that a lot of the focus here is on open source \u2014 and while developers can take these technologies and run them on-premises or in any cloud, these new toolkits will also provide what he called a \u201cglide path into the Google cloud.\u201d But as Spinelli stressed, there is no lock-in here. \u201cThere is a fundamental commitment that this is open source that you can use anywhere,\u201d he said.<\/p>\n
\nGoogle launches ML Hub to help AI developers train and deploy their models<\/br>
\n2023-05-10 21:49:20<\/br><\/p>\n