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ChatGPT is amongst the most remarkable inventions of Open AI. The AI chatbot interacts with users in a human-like language. The chatbot performs various tasks, making it distinct from other chatbots in the market. For instance, it can solve problems, compose music, and translate text into languages.

Conversely, many companies have joined the race to provide AI-powered tools to compete with ChatGPT. This makes users think of which language model is the best. 

This guide provides a comprehensive comparison of the AI-language models in the market. If you are curious to know the same, keep reading!

The growing AI language model market

A few years back, the invention of AI chatbots surprised everyone. However, nowadays, giant tech companies are working hard to develop powerful and more capable AI language models to help humans worldwide. These language models perform various tasks like interacting with users, providing translations, generating text, composing poems, etc.

AI-based chatbots are linked to social media platforms like Facebook, Instagram, Twitter, etc., that assist users in chatting with others. You can also find voice search engines that recognize your speech and provide results accordingly.

ChatGPT was released in November 2023 by Open AI. This invention has amused millions of internet users with its impressive functionalities. Other platforms, like ChatSonic, Google’s Bard, Transformer XL, etc., are adding to the growth of the AI language models.

Comparing ChatGPT with its competitors

ChatGPT has several competitors in the market. Many AI-based chatbots provide similar features giving tight competition to Open AI’s new product. For example, Google’s Bard, Chatsonic, and Neuroflash provide AI functionalities like ChatGPT.

However, these language models are trained using different learning methods. Their results may also vary for a given input. In the following section, you’ll find a detailed comparison of ChatGPT with its competitors, depending on various factors.

Overview of Key Players

Tech companies have deployed various AI language models in the market. These tools use natural language processing and machine learning techniques to interact with humans. This section provides an overview of the major players in the AI chatbots industry:

OpenAI’s ChatGPT

ChatGPT is an AI-based chatbot released by Open AI in November 2023. The tool is trained using Open AI’s GPT-3 language model. This tool answers every question you ask in a conversational language. The model uses supervised and non-supervised learning methods, which help it generate accurate and faster responses.

You can use ChatGPT for translation, text generation, music composition, solving maths problems, coding, etc. The model refers to its dataset to produce responses.

However, ChatGPT is a new project. So, the responses generated might lack accuracy. It may also generate offensive, sexually explicit, and inappropriate content.

Google’s BERT and GPT-3 competitors

Google has announced a new language model BERT (Bidirectional Encoder Representations from Transformers). It uses transformer-based architecture and a machine-learning model that produces natural language text.

Like ChatGPT, BERT produces human-like responses for every question. It also completes texts and analyzes sentiments. BERT is trained using many datasets, so it cannot handle complex languages like ChatGPT.

IBM’s Watson Assistant

Another player in the AI industry is IBM’s Watson Assistant. While not a text generation tool like ChatGPT, IBM’s Watson Assistant is used to improve the customer experience. This chatbot can be integrated into any website to generate responses to customer queries.

Watson’s assistant uses natural language processing and machine learning to learn how to respond to customers. This assistant replaces the traditional chatbots that fail to provide AI-based answers. The AI functionalities allow the assistant to provide accurate and faster responses.

Comparative Analysis

The features and working processes of different AI-based tools are similar. However, an in-depth analysis is required to know the best tool. Below is a comparative analysis of different AI tools.

Performance and accuracy

ChatGPT and Google’s BERT are new projects. The responses provided by both tools may lack accuracy. However, if you compare the results of both tools, you’ll notice that Google’s BERT produces slightly better results than ChatGPT. One of the reasons behind this is that BERT is trained using many datasets. This allows it to produce accurate results.

Again, ChatGPT produces results based on its database trained in 2023. Alternatively, Google’s BERT produces real-time results.

Scalability and integration

ChatGPT requires immense computational power to produce answers. This makes it hard to integrate ChatGPT with every software or chatbot in the market. It also limits the power to scale this software for incorporation into large businesses. Additionally, Google’s BERT is in its beta testing phase. So, nothing can be said about its scalability and integration. However, it is assumed that this software can smoothly handle huge traffic.

Cost and pricing models

ChatGPT is available for free. However, the free version has some limitations. If you want access to all its features, you need to purchase its subscription costing $20 per month. Google’s BERT is currently free for its users. However, the platform might start charging subscription fees in the future.

Use Case Scenarios

AI tools can be used in various websites and software to improve the customer experience. Businesses can integrate these platforms into their websites to respond to customer queries. Some use case scenarios of AI tools are mentioned below.

Customer support and chatbots

ChatGPT and BERT can be integrated with businesses to generate automated responses whenever a customer asks a question. It can also provide 24/7 customer support and give more accurate responses than traditional chatbots. They can be integrated into social media chatbots to help users chat with friends, provide suggestions, etc.

Content creation and editing

One of the major purposes of AI-based tools is to generate content. These tools can complete text, generate responses, and help edit content. They can provide grammatical suggestions and correct errors in writing.

Data analysis and insights

Analyzing data is one of the most tedious tasks, especially when the text is large. However, with AI tools, you can effortlessly extract useful information from a large piece of text. The tool can also summarize the text or highlight key points from it.


The battle of AI will last longer since more tech companies are showing interest in producing AI tools. ChatGPT is a powerful model, but the market is welcoming other similar models, of which Google’s BERT is one of them. Both ChatGPT and BERT have several helpful features. However, while ChatGPT already dominates the market, BERT is in its beta phase.

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We Pitted Digital Assistants Against Each Other To Find The Most Useful Ai

CES 2023 demonstrated that smart digital assistants are becoming key components of a variety of gadgets. As these AI companions play more of a role in everyday life, every tech company wants an assistant app to call their own. Amazon has Alexa, Apple has Siri, Google has Google Assistant, Microsoft has Cortana, and Samsung has Bixby.

Some of these AIs can help you do everything from looking up train times to controlling a smart home—but it can be hard to keep track of which one can do what. So we downloaded all of the five major assistant apps to put them through their paces, pinpoint their differences, and decide which are the smartest and most capable.

A note before we fire up the apps: Because each of these assistants can respond to thousands of commands, it’s hard to do an exhaustive survey of their skills. Instead, we aim to give you a general flavor of what each one is like. Also bear in mind that we were talking to Alexa via an Amazon Echo speaker, so it couldn’t display text and graphics alongside its responses like the other assistants—which we tested on Android and iOS phones—did.

General questions

We started the contest by asking the assistants basic questions about topics like the weather forecast, conversions between different measurements, and trivia.

Every assistant could answer a simple query about the weather and provide the forecast for the next few days. We did notice some very slight variations in the responses, probably because these apps rely on different sources. Alexa gave the most useful information in the shortest time, which makes sense—as a voice-only program, it has to be as succinct as possible.

The apps also coped admirably with simple calculations and conversions between different units. They could even update us on the time in different time zones—though we should knock points off for Siri and Cortana, which didn’t include the day as well as the time in their spoken responses, something you need to know if a region is a day ahead of or behind you.

We also tried a number of queries that you might throw into a search engine: “How old is Barack Obama?”, “Who built the Empire State Building?”, “What is the population of France?” and “How big is California?”. All the assistants returned the correct answers, which means every one of them would make a good trivia night companion.

However, a more complex question tripped up a few of the assistants. We asked: “What’s that movie with Robert de Niro and Al Pacino in it?” In response, Google Assistant and Bixby did well, producing a list of all five films that matched the question. Siri showed just three of the films, Cortana showed the Wikipedia page for Robert de Niro, and Alexa had no idea what was going on and tried to play a video.

Evidently, these digital assistants can all return simple answers to simple searchable questions. However, they’ve still got a long way to go when it comes to more complex queries. They’ll need improved natural language recognition, and a better ability to sift through online information, before they can match a human assistant.


A good digital assistant should be able to organize your life as well as search the web. Here’s how the contenders manage your calendars, contacts, and emails.

Every one of these assistants are able to work with Google, Apple, and Microsoft calendar apps—with the exception of Cortana, which can’t access Apple calendars. When you ask, all of these apps can tell you what your next calendar appointment is and provide a list of upcoming events in response to “What am I doing next week?” Bixby and Siri do the best job of neatly displaying that information (but that’s not Alexa’s fault, as it doesn’t have a screen on a standard Amazon Echo). In addition to reviewing existing events, you can use any assistant to create new ones. However, none of the apps understood what we meant when we asked when our next free time slot or free day would occur.

As for contacts, all the assistants can act on simple “call Joe Schmo” and “text Jane Doe” commands—though with the Alexa app on your phone, you must first enable an Echo for it to be able to make calls. The functionality was largely similar across the board, with the call launching automatically on speakerphone. However, Siri also avoids accidental dials by asking you to confirm that you really want to make the call.

Of course, there are times when you want to look up contact information without necessarily calling them. So we tried to find an address for one of our contacts. Kudos to Siri and Bixby, which actually recognized a “Where does [name] live?” command. Cortana and Google Assistant returned a web result for a famous person of the same name, while Alexa wasn’t able to look up addresses.

Next, we asked all these digital assistants to show our most recent emails. Google Assistant, Bixby, and Siri all displayed the most recent messages on screen, but Alexa and Cortana couldn’t, hampered by not having tight integration with an Android or iOS operating system. Cortana could, however, send emails to specific contacts, as could Bixby, Siri, and Google Assistant. Alexa misses out again here, but expect Amazon to add this ability soon, perhaps through an update to the Alexa app that helps it work with existing email apps.


Alarms, timers, and reminders are bread and butter tasks for digital assistants—and in this category, none of the contending apps will let you down.

All assistants could “set an alarm for 9 a.m. tomorrow.” They identified the day and time properly and even showed a confirmation on screen. A follow-up command, “cancel the alarm for tomorrow,” only worked on Bixby, Google Assistant, and Alexa. Siri didn’t understand that phrasing but did respond to “cancel alarm,” perhaps a sign that its natural language recognition lags behind the others just a little. And we couldn’t get Cortana to cancel the notification at all until we asked for a list of alarms and manually toggled it off.

As for reminders, the simple “remind me to buy milk” command met with a few different responses. Alexa asked for a day and time for the reminder before saving it, Google Assistant wanted either a time or a place when the reminder would kick in, and Bixby, Cortana, and Siri saved the note in the default reminder app without asking for any more details. If you do include a specific date and time in your original voice command, all apps will save those relevant details and time the reminder accordingly. They also understand recurring alerts like “remind me at 2 p.m. every day to exercise,” allowing you to set up daily, weekly, or monthly reminders.

In addition to times, you can also associate reminders with places. Cortana and Siri coped well with a “remind me to buy flowers when I get to London” command. Bixby and Google Assistant got halfway there—but asked us to specify a location manually rather than just accepting London from the voice command. Alexa couldn’t link a reminder to a place at all, but that’s a forgivable shortcoming considering that it lives inside a speaker rather than a GPS-enabled phone.

Finally, to avoid having the test phones buzzing for the rest of the week, we asked the digital assistants to “delete all reminders.” Alexa and Bixby obliged after asking for a general confirmation, Siri wanted us to confirm the deletion of each reminder individually, and Google Assistant and Cortana wouldn’t obey that instruction at all—we had to ask to view the reminders on the phone and then remove them manually.


Nobody wants life to be all work and no fun. Which is why your digital assistant must be able to update you on the news, provide sports results, and play music and movies.

Next, we tried asking, “What was the United score?” (referring to the English soccer team Manchester United by an abbreviation of its name). Alexa and Google Assistant answered perfectly, and Alexa even told us when the next game would happen. Siri and Cortana struggled until we specified “Manchester United” as the team name. Coming in last place in this challenge, Bixby could only provide us with a list of web results.

We found music to be a real mixed bag. It really depends on two factors: the assistant and the audio service. For example, we could call up and play Spotify playlists perfectly with Alexa, Google Assistant, and Cortana. But when we tried other music apps like Apple Music and Google Play Music, the assistants fell short. As for Siri, it could only control Apple Music, and Bixby was even more limited—it was only able to play audio files stored on the phone.

Similarly, movies varied from app to app. Alexa can open up apps and play specific films when you say “show me an action movie” or “open Netflix“—as long as you’ve connected it to a Fire TV on the same wireless network. Google Assistant, Siri, and Bixby pull up those videos, and any YouTube clips, on the phone you’re using. In addition, Siri can fire up anything you’ve stored in your iTunes library and Google Assistant can beam any video content to a nearby Chromecast. We’ve left out Cortana, because it doesn’t possess the same video-playing talents that its competitors do, although it can bring up a few YouTube videos via a Bing search.

Although this is the current state of entertainment on assistant apps, it could change very quickly, because Google, Samsung, Microsoft, Amazon, and Apple are constantly making new partnerships. For example, when it comes to displaying news, the assistants rely on receiving compatible content from news producers. Once those partnerships exist, the companies can update their apps to add additional features.

Final verdict

This might seem like a lot of testing, but these assistants also have many features we haven’t explored, which is a testament to how capable they’re becoming. Still, with our basic review, we managed to rank these digital pals in different ways.

Siri possesses a similarly tight integration with smartphones, but only of the iOS variety. However, its lack of support for non-Apple apps and services occasionally lets this assistant down. If you prefer iPhones, though, there’s no reason to switch: Siri will work great with Apple’s Mail, Calendar, Contacts, and Maps apps.

Cortana, the Microsoft assistant hitching a ride on Android and iOS, seems the most disjointed of the digital assistants we tested. That said, it syncs neatly with Windows 10, works across multiple devices, and does make some effort to learn the news stories, sports scores, and other interests you follow. Unfortunately, it doesn’t have quite the same polish as Google Assistant, Siri, or Alexa.

Finally, as the newest of these apps, Bixby is still a work in progress. At the moment, it can’t offer as many features as its rivals do. However, it does control Samsung devices well (try commands like “close all recent apps”) and works nicely with the manufacturer’s own mobile apps. Expect some big improvements to come.

How Will Be The Future Of Learning Language?

Since the beginning of time, learning languages has been a high-ranking scholarly pursuit. It enabled scholars to examine materials and sources in other languages. It opened up a whole new world for research and interpretation. It enhanced one’s overall worldview.

This is why there are so many books on different methods of learning a language. These language-learning techniques might be more important than ever in today’s hyperconnected world.

Although it was important to know a language, there has never been so much practical application. You can now download materials in your target language and access the section of the internet to get in touch easily with native speakers. Modern technology made all of this possible.

The possibilities are endless. This technology can be used to aid in learning a new language. Language-learning apps, translation apps, and online courses have made it possible to learn a new language much faster. With all these factors in mind here are some predictions about the future of language learning.

Improved Understanding of Learning and Learning Difficulties

Truth is, there has never been more data than today. A capable AI-backed algorithm can access countless examples from language learners of all proficiency levels. Any analysis drawn from this data is more pertinent and consequential.

There were a few methods that have been known for facilitating the learning of language. This can be greatly improved with the right technology.

It was difficult, for example, to speak to native speakers or to use the target language in situations where it was necessary. This is no longer the case with the widespread usage of the internet.

The second key to success in learning a language is having intrinsic motivation and goals. It was never easier to move, open an overseas company, or find a long-distance friend. Motivation is another important aspect.

It was also difficult to be exposed to different formats of language. You may have had your grammar book but it didn’t replicate a real-life situation.

Even if you recorded a few phrases spoken, they were clinically correct. There were no grammatical errors or odd pronunciations.

Although this sounds like a great thing, it didn’t prepare you for a real-world scenario. You can now diversify your learning experiences with the help of different materials, even YouTube videos in the target language.

Also read:

Top 10 Job Search Websites of 2023

Machine Learning and NLP

For a long time, efforts have been made to teach an algorithm human language. Over the years, it has been obvious that AI is able to grasp complex concepts such as context, in some cases even complex figures of speech, much more easily than humans. semantics technology is what made all of this possible. It helps the program understand the meaning and not just its etymology.

Voice recognition was another major breakthrough. The algorithm recognizes sounds much more accurately now and can distinguish words based upon the context, geographical location, etc.

Natural Language Processing (NLP) is a crucial component of machine learning when it comes to language learning. A natural language, by itself, is data. It is, however, very different from traditional data.

Language Learning Apps

Next, you should understand the importance of language learning applications. These apps are great because they provide language learners with lessons or learning sessions on-demand. It’s almost like having a tutor with you wherever you are.

Traditional learning had one of its greatest problems. There was a presumption you wouldn’t have a dictionary with you in real-life situations where the target language was required. This is no longer true. It is possible to retake an app-based course or access your in-app vocabulary right away.

This is a totally different approach to the problem. Professional translators rely heavily on translation apps. So why should ordinary language users be held to different standards?

These apps have amazing results. The app’s results are astounding. For example, people who spent six hours studying the app increased their knowledge by at least one level (almost 69%).

75% of those who had studied for at least 15 hours also showed improvement. You can spread your sessions however you like or take it all in one shot if your phone has the battery.

A private tutor would cost quite a lot to hire for 15-minute classes. However, these apps are either completely free or require a minimal monthly subscription.

Enhancing Multilingual Sentence (EMU), Embedding

This is one of the most important postulates in semantics. Sometimes you have to decide whether to retain the meaning (semantics) or keep it as is. This can be especially problematic when translating idioms.

EMU is a great tool in this area. The semantic classifier, one of the EMU components, can identify ground truth labels and assign context based on these. It can then predict what language will be used in each context.

EMU also includes a multilingual encoder, which is the only way that this method can work in multiple languages, and a language discriminator. The language discriminator simply distinguishes between the two languages.

The platform was in its early stages. Efforts were made to “confuse” the discriminator. This strategy has resulted in a platform that is much more resistant to such tactics.

EMU’s multilingualism is now at its peak when it comes to translating and interpreting sentences, as well as distinguishing between sentences with different parallels.

In Conclusion

The ultimate breakthrough could come down to machines being able to understand human speech in a manner similar to humans.

This platform would be able to offer instant information on the semantics of any word or phrase, sentence, and text. It would immediately solve miscommunication and translate problems.

The fact that we live in a hyperconnected world makes it even more attractive to learn languages. While English is the language of the internet, there are large portions of the digital world that can be found in other languages. These (currently obscured) parts could be unlocked if users learn new languages.

Google Play Pass Vs Apple Arcade: The Battle Of The Curated App Subscriptions

Apple Arcade games mostly play like really good indie games.

The only real criticism of Apple Arcade content is that the games are all, well, mobile games. Most of them play like (really good) indie games rather than AAA titles, even if they are made by AAA studios. They do push the envelope for mobile gaming, but don’t expect a console-like experience.

Google Play Pass offers versatility

Google took a different approach with its Google Play Pass. Instead of having developers create new games for its app subscription service, it simply offers a list of high-quality, hand-picked games. The list includes Stardew Valley, Terraria, Star Wars: Knights of the New Republic, Monument Valley, and many others. Check out the full list below.

Price and value

Both the Google Play Pass and Apple Arcade come in at $4.99 a month, which is truly a steal for the amount of content on offer. Some of the individual games included in Google Play Pass cost more than the subscription fee, so if you’re interested in those the service is a no-brainer.

As for which is a better value, it depends on what you’re looking to do. Google Play Pass includes both apps and games, so you get both entertainment and productivity.

Play Pass is cheaper — but only with a yearly subscription.

Both are great value, but you can get some serious savings with a yearly subscription to Google Play Pass at just $1.99 a month (for the first year). Apple Arcade does not offer a yearly subscription, so you have to pay $4.99 month-to-month. If we’re comparing Apple Arcade vs Play Pass on price alone, the latter is much cheaper initially.

The good news is that you can try out both before buying: Apple Arcade features a 30-day trial, while the Google Play Pass trial is just 10 days.

Read also: 15 best offline Android games that require no Wi-Fi

For multi-platform support, Apple Arcade once again ticks an extra box. Play Pass is only available on Android phones and tablets, while you’ll soon be able to enjoy Apple Arcade content on a Mac or Apple TV.

Until more countries are added to Google Play Pass, Apple Arcade is the only choice for most of the world. That could change in the next few weeks, but for now Apple’s service pulls ahead.

Developer support


Game developers provide the true backbone of both Google Play Pass and Apple Arcade, so developer support is a key aspect to consider. Solid paths to monetization and reliable income are hard to come by in today’s game industry, and app subscription services are one way to address this.

In the case of Apple Arcade, at least some of the development cycle is funded directly by Apple. Apple has invested half a billion dollars in the service, which removes a lot of the risk for developers. They can just focus on making great games, with the freedom to try out experimental approaches.

Developer revenue is much more secure in Apple Arcade than Play Pass.

In fact, Apple Arcade is more of a gamble for Apple than developers. Considering the huge stacks of cash Apple has lying around, the Cupertino company should have no problem funding the service until it catches on with users. That said, it only includes games, so app developers will have to look elsewhere.

Google Play Pass vs Apple Arcade: And the winner is…

When it comes to quality, exclusivity, and availability, Apply Arcade can’t be beat. Even so, Google Play Pass is a more versatile service, with far more games and apps to choose from. Both Google Play Pass and Apple Arcade are great value, even if you don’t plan on using more than a few apps or games available.

Ultimately, which one you decide to get will depend on which device you use. iPhone users should get Apple Arcade if they’re into games, and Android phone users should pick up Google Play Pass if they’re looking to get even more use out of their phones.

Are you looking to pick up the Google Play Pass or Apple Arcade? Let us know what you think of these new app subscription services below!

How To Change The Language Of The News And Interests Feed On Windows.

If you have recently updated to Windows 10 version 20H2 and have started regularly using the News and Interests feed in the taskbar. This article will show you how to change the language should you wish to browse News and Interests content in a different language to the language you run Windows in.

Quick steps for changing the News and Interests feed Language on Windows 10:

Change to the Experience Settings tab.

Change the Language at the top of the page, then Refresh.

Optional: Change to the My Interests tab and adjust what the feed shows you.

How do you change the language of News and Interests without changing your entire operating system language?

Now just Refresh everything and you’re done.

The only catch is that this will change your entire MSN website experience to your new language, not just the News and Interests widget, though I’m sure this isn’t too much of an issue.

How do you customise the rest of your News and Interests experience on Windows 10?

While you are on this page make sure you take the time to visit the Interests tab as well. This is where you can personalise your entire News and Interests feed. If you don’t, you’ll be stuck with a generic feed that Microsoft curates on global trending topics, not the topics you’re most interested in.

As we mentioned above if you aren’t happy with the News and Interests feed on Windows 10 opening Microsoft Edge all the time, you can force it to use your default Internet browser, however, it will require some third-party tools. If you’re using Chrome at the moment I highly suggest giving the new Edge a go for a while, it’s really good!

The Best Places To Find 3D Printer Models

Whether you want to print out tools and parts for DIY projects, or something fun like a 3D printed Baby Yoda, you’ll need to find 3D printer models. It’s still a new space, and creating detailed models is a lot of work, so resources are still limited.

There are still a few gems out there that offer some great models for you to download and print for your own personal use. We’ve picked out a number of them that you’re sure to like.

Table of Contents

Unless we explicitly state it in the opening paragraph, all websites featured in this article offer 3D models for free download. If you’re looking for 3D printers instead, here’s a list of great starter models.

Cults 3D – 3D Printer Model Platform

Cults 3D is a huge platform for creating, selling, and buying 3D printer models. Whilst some models must be purchased, there are also thousands of free 3D printer models to download too.

To get started, simply visit the website and search for something you’d like to print. Alternatively, visit the collections page and look for 3D models within certain collections. Popular collections include Star Wars, Harry Potter, and Pokemon.

For more productive prints, the useful objects collection might take your fancy. This includes projects like 3D printed smartphone holders, clamps for DIY work, or kitchen tools like egg separators and bag clips.

Please note that all of these 3D printer models are user submitted, so print instructions, model quality, and support will all vary from model to model. You can sort your search results by download or like count to make it easier to find good models.

If you can’t find what you’re looking for, you can find a creator to make a 3D model for you with the on demand feature. You must list the specifications of the model, give a budget, and choose a deadline. The more you provide in terms of specifications and illustrations for the print, the better.

Yeggi – Search Engine for 3D Printer Models

Yeggi doesn’t offer up 3D printer models itself, but instead provides a powerful tool to search for 3D models. Yeggi has been around since 2013 and since then there hasn’t really been any decent competition to make us suggest an alternative. Since Yeggi sends you to approved third party websites, some 3D models are only available for purchase. However, 90% of all models that appear in Yeggi’s search engine are free to download.

Yeggi has over 2 million 3D printer models in its database, so a quick search should return some good results. The search tools aren’t as comprehensive as Google, but you can still sort results by best match, popularity, or most recently added.

Thingiverse – Find 3D Printing Projects

Despite the name, Thingiverse isn’t just about printing out things. It’s a great platform for finding fun, educational projects and to join a community. Take this LTB weather station for example. It’s also a great place to engage with other 3D printer owners and learn about what they’re building. 

You can find specific groups so that you can interact with like-minded people. For example, some popular groups include engineering, Raspberry Pi enthusiasts, board game creators, Star Wars, and Warhammer 40K.

If you are after things to print out, that’s possible, too. The search bar is the best tool to use to find 3D printer models to print out. For example, a quick search for Baby Yoda returned hundreds of results, sorted by popularity.

Because of the community-led focus, you’ll have more tools to engage with each creator’s project. Let’s say you wanted to see how a specific 3D Baby Yoda print would actually turn out. You can see the Makes tab to view other user’s results after printing the model you are currently viewing.

YouMagine – Community Created Prints

YouMagine is driven by the community, perhaps more so than the other platforms we’ve listed so far. The goal behind YouMagine is to create an open source platform where individuals can work to create, edit, and collaborate on 3D printer models without any content restrictions.

That means models will often use a Creative Commons license. Typically, models will use CC Attribution Noncommercial Share Alike, which means you can download 3D models for free, edit, and reshare any work, but you cannot use it commercially.

For now, YouMagine’s community is a little smaller, but if you’re looking to collaborate with others on 3D printer models or want to find the starting work for your own 3D designs that you can print later, YouMagine is a great tool. 

Instructables – For 3D Printing Projects

Instructables isn’t just about 3D printer models but it’s a great website to find fun, engaging projects that do utilize 3D printing. You’ll be able to find projects with full guides and downloadable model files.

Not only does this mean that you can print out some useful models, but you can learn how to do everything along the way. Download parts to build your own 3D printed toys, or learn how to create your very own 3D printable models too.

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