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Top dating apps in India

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Traditional dating is now history. The fast progress of technology didn’t occur only in domains like cars, medicine, or hardware. It also created the dating industry. Dating apps have been in this world for more than 30 years, but they didn’t reach the whole planet. Right now, dating apps let you find your significant other, even if he or she is on the other side of the globe. Now, with a simple click and an app installation, you can communicate with persons from whatever country you wish.

 

This progress has also been brought in India, especially in dating apps. With the majority of people already having a smartphone in their hands, the love of your life is so much closer than you think. In India, dating apps were beloved by users and quickly became a nationwide trend. Helping every user expand his or her outreach, these apps can connect you to the people you’re most interested in.

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Very easy to understand and use, these apps are based on a swipe left or a swipe right, in case you think it’s the right person. Then, if it’s a match, you can instantly talk, exchange profiles and see how compatible you are. All the apps are based on the simple principle of seeing, then talking. In this way, it will be easier for you to search for the perfect person.

 

Tinder

Searching all day for no deposit casino offers would be more fun if you would have another person to share this passion with. That’s why a dating app would be perfect to find your love interest with the same passions.

 

When you think of dating apps, the first thing that comes to mind is Tinder. That’s how big this platform is. Tinder is the most popular dating app in the world, especially for millennials. The reason why this app is so popular is that the system is easy to understand and use. You just sign up, enter your info, and start looking for your soulmate.

 

In less than a couple of minutes, this app will connect you with hundreds, thousands of people in the country. Its biggest asset is the well-done algorithm that matches the people. Its process is so easily and quickly made that it’s very convenient for everyone. Note that Tinder has premium services. It can help you find a specific person and it will come with unlimited swaps.

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Bumble

Bumble has quickly become a popular dating app in the States, now widely used also in India. The unique benefit that it has is the fact that when matched, the female is the one that initiates the talk with her match. In this way, it breaks the stereotypes in this country, making the females have the power of love and matching in their own hands. For its users, it became very popular because of its assets and it quickly became famous.

 

Also, if it is the case of a gay couple, anyone can start the conversation. Another important aspect and benefit of using Bumble is that you won’t find any fake profiles. During the registration process, the algorithm and security check the profile photo and verify it. If you just want to find conversation partners, note that Bumble can also do that for you.

 

OkCupid

OkCupid is undoubtedly one of the best dating apps in India. The difference and innovation that come in this app are not matching by pictures, but by questions. The questions make sure that the match made by OkCupid has common interests and the same hobbies. The users of this platform can easily connect through messaging and also the virtual dating asset is a big plus.

 

Also, you can always search for your perfect match based on your location or location preferences. The latest updates of this app give you an ad-free app, that you can enjoy and use without restrictions.

 

TrulyMadly

Even though this app has gained less popularity in India than the other apps mentioned above, TrulyMadly comes with its pack of assets. First of all, the privacy policy is very well secured and without scammers. Also, the profile verification process assures you a safe platform once you’re in.

 

When you are allowed on the platform, you can start searching for your love interest. Once you and the person you fancy liked each other on the app, the conversation may begin. Also, another unique feature is the trust score. If your score is a high one, the chances of you matching are also high. This score helps you match with confident and sincere persons like you. For you to maximize your score, linking your other social media profiles is a plus.

 

Happn

If you have been passing near a person and had an instant crush, this app is here to help you find the one. Happn is software created to find out the people that you crossed paths with. From there, you can like their profile and if they will like you back, the matching is done.

 

Apart from this unique feature, Happn will not allow scammers or ads on their app, so no need to worry about that anymore. If there will be a bot trying to log on to this app, the algorithm will simply block it before it gets past the verification.

 

Hinge

Hinge is a special app, created for people that are looking for personality traits and common interests, rather than looks. So, if you want to focus on finding your significant other through your hobbies, Hinge is here to do that for you!

 

Having a special structure and algorithm created by the developers, Hinge creates a set of tags and keywords from which you can choose. Also, you can add those to your profile as well, so people can find you according to those.

 

Conclusion

 

No matter what you are looking for, their apps will for sure help you find your love interest. Having their unique sets of assets and matching algorithms, these popular dating apps in India are the most loved by their users.

 

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Meta’s AI AI machine translation research helps break language barriers

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Today, Meta announced that it has built and open sourced ‘No Language Left Behind’ NLLB-200, a single AI model that is the first to translate across 200 different languages, including 55 African languages with state-of-the-art results. Meta is using the modelling techniques and learnings from the project to improve and extend translations on Facebook, Instagram, and Wikipedia.

 

In an effort to develop high-quality machine translation capabilities for most of the world’s low-resource languages, this single AI model was designed with a focus on African languages. They are challenging from a machine translation perspective. AI models require lots and lots of data to help them learn, and there’s not a lot of human translated training data for these languages. For example, there’s more than 20M people who speak and write in Luganda but examples of this written language are extremely difficult to find on the internet.

 

We worked with professional translators for each of these languages to develop a reliable benchmark which can automatically assess translation quality for many low-resource languages. We also work with professional translators to do human evaluation too, meaning people who speak the languages natively evaluate what the AI produced. The reality is that a handful of languages dominate the web, so only a fraction of the world can access content and contribute to the web in their own language. We want to change this by creating more inclusive machine translations systems – ones that unlock access to the web for the more than 4B people around the world that are currently excluded because they do not speak one of the few languages content is available in.

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“It’s impressive how much AI is improving all of our services. We just open-sourced an AI model we built that can translate across 200 different languages — many of which aren’t supported by current translation systems. We call this project No Language Left Behind, and the AI modelling techniques we used are helping make high quality translations for languages spoken by billions of people around the world. To give a sense of the scale, the 200-language model has over 50 billion parameters, and we trained it using our new Research SuperCluster, which is one of the world’s fastest AI supercomputers. The advances here will enable more than 25 billion translations every day across our apps. Communicating across languages is one superpower that AI provides, but as we keep advancing our AI work it’s improving everything we do — from showing the most interesting content on Facebook and Instagram, to recommending more relevant ads, to keeping our services safe for everyone,” said Meta CEO Mark Zuckerberg in a post on his Facebook profile.

 

Language is our culture, identity, and lifeline to the world. However, as high-quality translation tools don’t exist for hundreds of languages, billions of people today can’t access digital content or participate fully in conversations and communities online in their preferred or native languages. This is especially true for hundreds of millions of people who speak the many languages of Africa.

 

“Africa is a continent with very high linguistic diversity, and language barriers exist day to day. We are pleased to announce that 55 African languages will be included in this machine translation research, making it a major breakthrough for our continent,” Balkissa Ide Siddo, Public Policy Director for Africa said while speaking about the launch of the AI model. “In the future, imagine visiting your favourite Facebook group, coming across a post in Igbo or Luganda, and being able to understand it in your own language with just a click of a button – that’s where we hope research like this leads us. Highly accurate translations in more languages could also help to spot harmful content and misinformation, protect election integrity, and curb instances of online sexual exploitation and human trafficking.”

 

While commenting on accessibility and inclusion in the pursuit of building an equitable metaverse, Ide Siddo added “At Meta, we are working today to ensure that as many people as possible will be able to access the new educational, social and economic opportunities that the next evolution of the internet will bring to future technology and an everyday living experience tomorrow.”

 

To confirm that the translations are high quality, Meta also created a new evaluation dataset, FLORES-200, and measured NLLB-200’s performance in each language. Results revealed that NLLB-200 exceeds the previous state of the art by an average of 44 percent.

 

Meta is also open-sourcing the NLLB-200 model and publishing a slew of research tools to enable other researchers to extend this work to more languages and build more inclusive technologies. Meta AI is also providing up to $200,000 of grants to non-profit organizations for real world applications for NLLB-200.

 

There are versions of Wikipedia in more than 300 languages, but most have far fewer articles than the 6+ million available in English. Following Meta’s partnership with the Wikimedia Foundation, the non-profit organization that hosts Wikipedia and other free knowledge projects, modelling  techniques and learnings from the NLLB research are now also being applied to translation systems used by Wikipedia editors. Using the Wikimedia Foundation’s Content Translation Tool, articles can now be easily translated in more than 20 low-resource languages (those that don’t have extensive datasets to train AI systems), including 10 that previously were not supported by any machine translation tools on the platform.

 

To explore a demo of NLLB-200 showing how the model can translate stories from around the world, visit here. You can also read the research paper here.

 

 

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