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Travel Apps That Can Save You Time and Money

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Has there always been that one vacation that you always see advertised, that just looks incredibly exhilarating and exciting?  If you are like most, you always tell yourself, that is impossible, my schedule is insane, and that must cost an arm and a leg.  

Travel Apps That Can Save You Time and Money
Travel Apps That Can Save You Time and Money

Well, that may not be the case anymore.  Today’s technology makes it easy to accurately plan a budget friendly vacation to just about anywhere in the world.

Trail Wallet

On vacation, most people tend to forget about the fact that they still need to budget their money wisely. It’s hard to estimate after looking at all the fun things that places like the Bahamas all-inclusive resorts have to offer, but Trail Wallet can help with that.

It lets you set an allowance for yourself, which helps to remind you to stay within your limits. Also, it keeps a history of your spending and allows you to have an overview of your remaining budget. طيران رخيص

Hopper

Hopper is a top-rated app that lets you see when flights are at their lowest prices. The app works by entering your date of travel and where you are going to.

With this information it tells you if prices are at the lowest, they are going to get, or if you should wait to purchase because they are still able to go down in price.

Gas buddy

Traveling somewhere in the car may seem fun, but we all know that gas can be extremely costly for traveling far distances.  Gas Buddy is amazingly efficient.

You just provide them with your location and the app will tell you where you can find the cheapest gas near you.  Even if it is only by a few cents, a few cents can add up and save money without you even noticing.

Packing Pro

The stress that packing for vacation causes for some people may make people not want to go on vacation just because of the packing.  Packing Pro relieves some of that stress and time consumption from the preparation for the holiday.

It breaks down what you need to pack and puts it into a checklist. All you have to do is say how long your trip is, where you’re going, and what the weather will be like where you are going. This app also reminds you of the critical things that need to be done before traveling for a great vacation.

Turo

One thing nobody mentions for vacations is, how people get around and how much that is going to cost. Turo is an app that helps to simplify the car renting situation.

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It has over 350,000 vehicles in its system. And the renting price is almost 35% less than when you use a regular company. Also, it makes you not have to go through the mess of long lines and paperwork. Saving you time, which in the end gives you more opportunities during your vacation.

TripIt

This app helps you to plan your entire trip and create an itinerary.  It also lets you be able to edit plans for trips with friends or family.

Also, you can use the app once traveling, offline to check details and plans for your vacation. You can add friends to your itinerary, they will get real-time updates, including flight delays and cancellations.

XE Currency

When visiting different countries, this app can be beneficial.  It helps with showing exchange rates, if you plan on using an exchange booth, it enables you to keep from getting scammed.

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To get exchange rates as close to the app as possible without any markup, make sure you sign up for the best credit and debit cards for travel.

Tripadvisor’s City Guides

We all know getting around a new city can be very difficult. But, this app helps to make the process a lot easier.  It also can help you to avoid roaming fees.

This app lets you know facts and gives you maps to navigate you all around a new city, also did I mention, it doesn’t take any wifi. Also, it gives many lists of restaurants, hotels, shopping, nightlife, tours, and attractions.

Jibbigo

When visiting maybe a foreign country, learning and being able to understand the natives’ language is extremely important. Jibbigo can translate around 20 languages! They try their best to serve their customers the best they can.

If you get Jibbigo Plus, you can download translators and use them anywhere, even offline. You can share your translation via text, email, or even social media.

Kayak

This app allows you to view hotel pricing and find you the best deals on friendly hotels. It has a range of filters to sort your result in to.

It can give good ideas of lodging options within your price range. Also, Kayak can also help you find car rentals, alternative travel dates, and flight and airport information.

Conclusion:

Traveling can be extremely time consuming and expensive if not done correctly. But, by using some of these apps, you may be able to save lots of money and save time while doing it.  So, go and enjoy that vacation that you always wanted to take, and don’t even think twice about it.

 

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

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NLLB 1

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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