Tag: Beta

Welcome to Now in Android, your ongoing guide to what’s new and notable in the world of Android development.     Most of the content of this post is available in the form of a video or podcast, so feel free to watch or listen rather than re...

Over two years ago we started building Rise: a calendar that helps teams get more out of their time. Today we’re launching our Public Beta and we’d love to hear what you think. Get started here. Managing time, or managing life for that matter, did not become any easier in the pas...

From mid-May 2023 to the end of Sept 2023, we had an extremely successful Alpha testing period with our core community of testers and supporters. For a gated NFT test period, we want to say a huge thank you to our testers! For weekends we’d top out around the high 50’s in Daily Active...

Happy new week, Erthians! As we continue our work towards the economy expansion with Ertha Beta v0.7, it’s almost time to enjoy an intermediate update — Ertha Beta v0.6.5. The update is scheduled to go live on October 25th. With it, we’re bringing a lot of needed c...

It’s been a rough couple of years for Blizzard Entertainment, going from one of the premier studios in the world to one mired in controversy, scandals, lawsuits, and destroying years’ worth of goodwill with their fans. Diablo 4 has been viewed as the hopeful return to grace for...

A Private On-Device Neural Database for Personalized Retrieval-Augmented Generation (RAG) with Optional Integration with ChatGPT. Download here. Today, we are excited to announce the launch of the beta version of ThirdAI’s PocketLLM, a free, user-friendly LLM (Large Lang...

The Beta distribution is a probability distribution on probabilities. It is a versatile probability distribution that could be used to model probabilities in different scenarios. Examples include the Click-Through Rate (CTR) of an advertisement, the conversion rate of customers purchasing...

The Beta distribution is a probability distribution on probabilities. It is a versatile probability distribution that could be used to model probabilities in different scenarios. Examples include the Click-Through Rate (CTR) of an advertisement, the conversion rate of customers purchasing...

In order to understand beta distributions, lets image we have three coins. These coins can either land on heads or tails but all of them are rigged. The first one returns heads with a probability of 40%. The second one returns heads with the probability of 60% and the third one returns heads with a ...