WhatsApp beta for Android 2.23.19.6: what’s new?

WhatsApp is rolling out a new update through the Google Play Beta Program, bringing the version up to 2.23.19.6.What’s new in this update? WhatsApp is rolling out a general group chat for communities, and it’s available to some beta testers! Common questions Answers Name of the feature? General group – communities Status? Rolling out Compatibility?…

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Scaling the Instagram Explore recommendations system

Explore is one of the largest recommendation systems on Instagram. We leverage machine learning to make sure people are always seeing content that is the most interesting and relevant to them. Using more advanced machine learning models, like Two Towers neural networks, we’ve been able to make the Explore recommendation system even more scalable and…

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How to grow a personal Twitter account — How to Create a Snipe List to Grow Your Twitter Followers | by Airdrop X | Sep, 2023

Cultivating personal Twitter account growth isn’t just a goal; it’s a journey of building relationships, sharing knowledge, and expressing individuality. In the age of social media, Twitter has become an invaluable tool for this purpose. However, to truly succeed and make an impact on this platform, you need to know how to focus on growing…

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I will promote you millions of followers on instagram, tiktok, twitter, linkedin | by Buyer Iyanda | Aug, 2023

Hello sir/ma Are you looking for professional digital marketer that will help you promo0te your instagram, tiktok, twitter, linkedin to go viral around the world and meet your targeted country to drive in real follower and help you go arise your competitor? If yes, Perfect you are the right placed. I am professional digital marketing…

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AI debugging at Meta with HawkEye

HawkEye is the powerful toolkit used internally at Meta for monitoring, observability, and debuggability of the end-to-end machine learning (ML) workflow that powers ML-based products. HawkEye supports recommendation and ranking models across several products at Meta. Over the past two years, it has facilitated order of magnitude improvements in the time spent debugging production issues….

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