Trending February 2024 # How To Use The New Clubs Feature In Duolingo. (Free Language Learning) # Suggested March 2024 # Top 5 Popular

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If you aren’t familiar with Duolingo, it’s the top rated (Free) Language learning application on Android, iOS, and the web. From the start of November 2024 this year, Duolingo offers an astonishing 66 different language courses across 23 languages and they are currently working on adding another 22 more.

How to Make Your Windows PC Look More Like a MAC.

Duolingo was founded in 2011 inspired by Guatemalan-born Von Ahn, who saw how expensive it was for people in his community to learn English. Von Ahn and Severin Hackerco, the co-founder of Duolingo, strongly believe that having access to free education is the foundation of changing the world. From this idea, Duo was born and is now available for free around the world.

How Duolingo Teaches Language So Well.

Players gain Experience Points (XP) as they progress through the language tree they have chosen. The best part is questions you get correct gain 1 point and for each question you get wrong, you will lose 1 point. When you reach 10 points the lesson is completed, and you can move on to the next. If you forget a few lessons or don’t have time to do your course for the day the strength bars will begin to fade. Duo also detects which words and phrases you struggle with the most, prioritizing those to improve your learning efficiency.  

Duolingo Also Has a Chat Bot App.

There is also a new Duolingo app you may not have heard of called Duolingo Bots. This was introduced in October this year and allows you to Practice without pressure, communicating with bots to perfect your newly acquired language skills. Duolingo’s chatbots are powered by artificial intelligence, reacting differently, with endless possibilities for conversation. If you get stuck for a topic to talk about, there is a handy help button that will ask the bot to make suggestions for you. The bots are patient and prepare you for real-life conversations, from ordering food to purchasing train tickets. For now, though Duolingo Bots is only available on iOS.

Using The New Duolingo Clubs Feature.

To use the Club feature on Duolingo, you will have to update the app to its latest version. Once done, accessing Clubs is easy and can be done from the bottom of the screen, just one icon left from the store. Once you are on the Clubs tab, you can either join a Club or Create your own club. In order to join a Club, you will need to get a Club code from a friend, this will allow you into the group. Upon entering the unique code you will be granted access to the Club.

If you wish to create a club, just select the Create a Club option. Inside this menu, you will be asked to enter a name for your club and select an icon from the list. You will now be given a code to share with people you wish to join your club, just remember that the club member limit is 15.

You're reading How To Use The New Clubs Feature In Duolingo. (Free Language Learning)

9 Ways To Use Chatgpt For Language Learning

The popular AI-powered chatbot ChatGPT can produce responses in a wide range of different languages, even switching between languages in one conversation. Because of this, it can be a powerful tool to help you with language learning.

This article explores a variety of different ways to use ChatGPT to learn and practice a language, including example conversations with prompts you can copy and use yourself.

In this article, we’ve used examples that involve prompting ChatGPT in English to practice Spanish. But ChatGPT can respond in just about any language, so you could just as well, for example, prompt it in Portuguese to help you with your English.

NoteKeep in mind the limitations of ChatGPT. While it usually provides accurate answers, it can go wrong on specific points, so it’s best to double-check the answer to any specific grammatical question against a credible source.

Learning vocabulary

You can use ChatGPT to learn vocabulary relevant to the topic you’re studying.

Create an Spanish–English vocabulary list on the theme of cooking.

Sure! Here’s a Spanish-English vocabulary list on the theme of cooking:Spanish: English:

Cocinar: Cook

Receta: Recipe

Horno: Oven

Estufa: Stove

Sartén: Pan

Olla: Pot

Cuchillo: Knife

Tenedor: Fork

Cuchara: Spoon

Batidora: Blender


I hope you find this vocabulary list helpful!

Afterward, you can practice the vocabulary directly with ChatGPT in an interactive format.

Thanks. Let’s practice this vocabulary list. Only ask me one word at a time. You give me the English translation, and I have to type in the Spanish word. If I type the wrong word, don’t tell me the answer. Instead, give me a tip and ask me again for the translation of the same word.

Of course! Let’s practice the vocabulary list. Here’s the first word:English: Cook

Please type the Spanish translation.


That’s correct! “Cocinar” is the Spanish translation for “Cook.” Well done!Next word:

English: Recipe


I’m sorry, but “cuchillo” does not translate to “recipe.” Here’s a tip:”Cuchillo” is a kitchen utensil used for cutting. It’s an essential tool in cooking. Can you try again and give me the Spanish translation for “recipe”?

Asking for a translation

You can directly ask ChatGPT to translate sentences for you.

How do I say the following sentence in Spanish? “I often travel to Mexico for work and go on vacation there.”

To say “I often travel to Mexico for work and go on vacation there” in Spanish, you can say:”Viajo a menudo a México por trabajo y también voy de vacaciones allí.”

Please note that translations can vary depending on the context, and this translation assumes a general meaning.

You can also ask it to provide a selection of alternative translations, to see how the same ideas can be expressed in different ways.

Are there other ways to express the same information in Spanish?

Certainly! There are multiple ways to express the same information in Spanish. Here are a couple of alternative ways to convey the sentence:

“Con frecuencia viajo a México por trabajo y también voy de vacaciones allá.”

“Regularmente viajo a México por motivos de trabajo y también aprovecho para vacacionar allí.”

“A menudo viajo a México por cuestiones laborales y también me tomo vacaciones allí.”

These variations maintain the same meaning but present slight differences in wording and sentence structure.

This can help you to recognize patterns, thus improving your understanding of the language.

Explaining an example sentence

You can have ChatGPT explain the structure of a sentence to you or label the words used as specific parts of speech.

First, an example of how ChatGPT can clarify the structure of a sentence.

Explain the structure of the following Spanish sentence to me: “A menudo viajo a México por cuestiones laborales y también me tomo vacaciones allí.”

The structure of the sentence “A menudo viajo a México por cuestiones laborales y también me tomo vacaciones allí” in Spanish can be broken down as follows:

“viajo a México” – This is the main clause of the sentence. “Viajo” is the first-person singular present tense form of the verb “viajar,” which means “to travel.” “A México” is a prepositional phrase that indicates the destination of the travel, meaning “to Mexico.”

“y también” – This is a coordinating conjunction that means “and also” in English. It connects two ideas or actions.

“me tomo vacaciones” – This is another main clause of the sentence. “Me tomo” is the first-person singular present tense form of the reflexive verb “tomarse,” which means “to take” (referring to oneself). “Vacaciones” means “vacations” in English.

Overall, the sentence can be translated to English as: “I often travel to Mexico for work-related matters, and I also take vacations there.”

We can also ask ChatGPT for more detail about individual words in the sentence.

What does the “a” in “a menudo” mean? What part of speech is it?

In the phrase “a menudo,” the “a” is a preposition. In this context, it functions as a marker of direction or destination. It is used to indicate the frequency of the action or event that follows. “A menudo” is translated to “often” or “frequently” in English.

Explaining grammar and usage

Let’s say you don’t understand why the subject is often omitted in Spanish sentences. You can also ask ChatGPT to explain specific grammatical rules and concepts like this.

In the sentence “Viajo a Mexico,” what is the subject?

In the sentence “Viajo a Mexico,” the subject is the pronoun “yo” (I). The verb “viajo” (I travel) is conjugated to match the subject.

Why is the subject not included in the sentence?

I apologize for the confusion in my previous response. In the sentence “Viajo a México,” the subject is actually implied and not explicitly stated. The verb “viajo” (I travel) is conjugated in the first-person singular form, which indicates that the subject is “yo” (I). In Spanish, it is common to omit the subject pronoun when it can be inferred from the verb conjugation and the context. Therefore, even though the subject pronoun “yo” is not present in the sentence, it is understood that the speaker is referring to themselves as the subject.

Creating personalized exercises

You can also have ChatGPT create personalized exercises on a topic of your choice.

Example solution: Ella trabaja como mecánica.

Please don’t present the solutions in the exercise itself. Instead, I would like you to include a separate section below the exercise, which shows the correct solutions.


Correct Solutions:

Nosotros vamos al parque todos los domingos.

Tú te desempeñaste muy bien en el examen.

Ellos leen libros en la biblioteca.

Mi hermana y yo iremos al cine esta noche.

La profesora es muy amable con sus alumnos.

Bear in mind that ChatGPT is not always trustworthy. An exercise generated in this way may contain errors or may not exactly line up to what you asked for, depending on the complexity of your request.

Using ChatGPT as a conversation partner

You can, of course, use ChatGPT as a virtual conversation partner. Conversational practice is a key part of language learning, so having a virtual partner you can practice with at any time is incredibly helpful.

Please be my Spanish conversation partner. Only speak to me in Spanish. Keep your answers short (maximum 50 words). Ask me questions. Let’s start the conversation with the following topic: la cultura argentina.

¡Claro! Estoy listo para hablar contigo en español. Comencemos hablando sobre la cultura argentina. ¿Cuál es tu aspecto favorito de la cultura argentina? ¿Te gusta el tango, el fútbol o la comida?

Disfruto de la música de tango, pero no soy muy buen bailarín.

¡Qué genial que te guste la música de tango! No es necesario ser un buen bailarín para disfrutarla. ¿Tienes alguna canción de tango favorita o algún intérprete que te guste escuchar?

No soy un experto ¿Tienes sugerencias de músicos de tango populares?

¡Claro! Aquí tienes algunas sugerencias de músicos de tango populares para que puedas explorar su música: Carlos Gardel, Astor Piazzolla, Aníbal Troilo, Osvaldo Pugliese y Juan D’Arienzo. Estos son solo algunos, ¡hay muchos más para descubrir! […]

Asking for common expressions

To make your conversation sound more natural, it’s important to understand common expressions, phrases, and idioms. You can ask ChatGPT to provide examples and definitions of common expressions in different variants of the language (e.g., Peruvian Spanish).

I am learning Spanish because I am planning to spend some time in Peru. Can you give me a list of common idioms that are unique to Peruvian Spanish, with English translations?

Certainly! Here are some common idioms that are unique to Peruvian Spanish, along with their English translations:

“Estar en la luna” – To be on the moon (meaning to be absent-minded or daydreaming)

“Estar en la papa” – To be in the potato (meaning to be in a good situation or feeling great)

“Hablar hasta por los codos” – To talk through one’s elbows (meaning to talk a lot)


These idioms are specific to Peruvian Spanish and may not be widely used in other Spanish-speaking countries. Learning these expressions will help you understand and communicate better with locals in Peru.

Practicing pronunciation

Although ChatGPT is a text-based tool, you can get information about pronunciation by asking it to convert a sentence into the International Phonetic Alphabet.

I’d like to practice my Spanish pronunciation. Can you write the following sentence in IPA for me? “Regularmente viajo a México por motivos de trabajo y también aprovecho para vacacionar allí.”

Certainly! Here’s the sentence “Regularmente viajo a México por motivos de trabajo y también aprovecho para vacacionar allí” in IPA:/ɾeɣuˈlaɾmẽnte ˈbja.xo a ˈmexiko poɾ moˈtiβos ðe tɾaˈβa.xo i ˈtambjen apoˈβeʧo paɾa βaθjonaˈɾ aˈʎi/

Please note that the pronunciation may vary slightly depending on the speaker’s accent.

If you don’t understand the International Phonetic Alphabet, you can also ask ChatGPT to explain the pronunciation of the text to you in a different way.

I don’t understand all the IPA symbols. Can you instead explain the pronunciation of the sentence using letters with their normal English phonetic values?

Of course! Here’s the pronunciation of the sentence using English phonetic values:”Rehg-yuh-lahr-men-teh vee-ah-hoh ah Meh-hee-koh pohr moh-tee-vohs deh trah-bah-hoh ee tahm-bee-ehn ah-proh-veh-choh pah-rah vah-kah-see-oh-nahr ah-yee.”Note that this approximation using English phonetic values may not capture all the nuances of Spanish pronunciation, but it should give you a general idea of how the sentence sounds.

Creating a curriculum

Not sure what you should prioritize in your language learning? You can also ask ChatGPT to generate a personalized curriculum based on your language level and your goals.

My Spanish language ability is quite limited. I’m comfortable introducing myself and making basic conversation about my job, the weather, and so on, but I struggle to understand and formulate more complex sentences. Please create a personalized language learning curriculum with specific topics for me, tailored to my personal language level and focusing on my current weak points.

Sure! I can help you create a personalized language learning curriculum to improve your Spanish skills. Based on your current level and your weak points, I’ll provide you with specific topics and resources to focus on. Here’s a suggested curriculum for you:

Vocabulary Expansion:

Start by building a strong foundation of common Spanish words and phrases. Use flashcards or vocabulary apps like Duolingo or Memrise to learn and review new words regularly.

Grammar Practice:

Focus on improving your understanding and usage of verb conjugations, articles, and pronouns. Use online resources or grammar books to study these topics and practice with exercises.


Other interesting articles

If you want more tips on using AI tools, understanding plagiarism, and citing sources, make sure to check out some of our other articles with explanations, examples, and formats.

Frequently asked questions about ChatGPT Cite this Scribbr article

Caulfield, J. (2023, May 30). 9 Ways to Use ChatGPT for Language Learning. Scribbr. Retrieved July 10, 2023,

Cite this article

Feature Selection Techniques In Machine Learning (Updated 2023)


As a data scientist working with Python, it’s crucial to understand the importance of feature selection when building a machine learning model. In real-life data science problems, it’s almost rare that all the variables in the dataset are useful for building a model. Adding redundant variables reduces the model’s generalization capability and may also reduce the overall accuracy of a classifier. Furthermore, adding more variables to a model increases the overall complexity of the model.

As per the Law of Parsimony of ‘Occam’s Razor’, the best explanation of a problem is that which involves the fewest possible assumptions. Thus, feature selection becomes an indispensable part of building machine learning models.

Learning Objectives:

Understanding the importance of feature selection.

Familiarizing with different feature selection techniques.

Applying feature selection techniques in practice and evaluating performance.

Table of Contents What Is Feature Selection in Machine Learning?

The goal of feature selection techniques in machine learning is to find the best set of features that allows one to build optimized models of studied phenomena.

The techniques for feature selection in machine learning can be broadly classified into the following categories:

Supervised Techniques: These techniques can be used for labeled data and to identify the relevant features for increasing the efficiency of supervised models like classification and regression. For Example- linear regression, decision tree, SVM, etc.

Unsupervised Techniques: These techniques can be used for unlabeled data. For Example- K-Means Clustering, Principal Component Analysis, Hierarchical Clustering, etc.

From a taxonomic point of view, these techniques are classified into filter, wrapper, embedded, and hybrid methods.

Now, let’s discuss some of these popular machine learning feature selection methods in detail.

Types of Feature Selection Methods in ML Filter Methods

Filter methods pick up the intrinsic properties of the features measured via univariate statistics instead of cross-validation performance. These methods are faster and less computationally expensive than wrapper methods. When dealing with high-dimensional data, it is computationally cheaper to use filter methods.

Let’s, discuss some of these techniques:

Information Gain

Information gain calculates the reduction in entropy from the transformation of a dataset. It can be used for feature selection by evaluating the Information gain of each variable in the context of the target variable.

The Chi-square test is used for categorical features in a dataset. We calculate Chi-square between each feature and the target and select the desired number of features with the best Chi-square scores. In order to correctly apply the chi-squared to test the relation between various features in the dataset and the target variable, the following conditions have to be met: the variables have to be categorical, sampled independently, and values should have an expected frequency greater than 5.

Fisher score is one of the most widely used supervised feature selection methods. The algorithm we will use returns the ranks of the variables based on the fisher’s score in descending order. We can then select the variables as per the case.

Correlation is a measure of the linear relationship between 2 or more variables. Through correlation, we can predict one variable from the other. The logic behind using correlation for feature selection is that good variables correlate highly with the target. Furthermore, variables should be correlated with the target but uncorrelated among themselves.

If two variables are correlated, we can predict one from the other. Therefore, if two features are correlated, the model only needs one, as the second does not add additional information. We will use the Pearson Correlation here.

We need to set an absolute value, say 0.5, as the threshold for selecting the variables. If we find that the predictor variables are correlated, we can drop the variable with a lower correlation coefficient value than the target variable. We can also compute multiple correlation coefficients to check whether more than two variables correlate. This phenomenon is known as multicollinearity.

Variance Threshold

The variance threshold is a simple baseline approach to feature selection. It removes all features whose variance doesn’t meet some threshold. By default, it removes all zero-variance features, i.e., features with the same value in all samples. We assume that features with a higher variance may contain more useful information, but note that we are not taking the relationship between feature variables or feature and target variables into account, which is one of the drawbacks of filter methods.

The get_support returns a Boolean vector where True means the variable does not have zero variance.

Mean Absolute Difference (MAD)

‘The mean absolute difference (MAD) computes the absolute difference from the mean value. The main difference between the variance and MAD measures is the absence of the square in the latter. The MAD, like the variance, is also a scaled variant.’ [1] This means that the higher the MAD, the higher the discriminatory power.

‘Another measure of dispersion applies the arithmetic mean (AM) and the geometric mean (GM). For a given (positive) feature Xi on n patterns, the AM and GM are given by

respectively; since AMi ≥ GMi, with equality holding if and only if Xi1 = Xi2 = …. = Xin, then the ratio

Wrapper Methods

Wrappers require some method to search the space of all possible subsets of features, assessing their quality by learning and evaluating a classifier with that feature subset. The feature selection process is based on a specific machine learning algorithm we are trying to fit on a given dataset. It follows a greedy search approach by evaluating all the possible combinations of features against the evaluation criterion. The wrapper methods usually result in better predictive accuracy than filter methods.

Let’s, discuss some of these techniques:

Forward Feature Selection

This is an iterative method wherein we start with the performing features against the target features. Next, we select another variable that gives the best performance in combination with the first selected variable. This process continues until the preset criterion is achieved.

This method works exactly opposite to the Forward Feature Selection method. Here, we start with all the features available and build a model. Next, we the variable from the model, which gives the best evaluation measure value. This process is continued until the preset criterion is achieved.

This method, along with the one discussed above, is also known as the Sequential Feature Selection method.

Exhaustive Feature Selection

This is the most robust feature selection method covered so far. This is a brute-force evaluation of each feature subset. This means it tries every possible combination of the variables and returns the best-performing subset.

Embedded Methods

These methods encompass the benefits of both the wrapper and filter methods by including interactions of features but also maintaining reasonable computational costs. Embedded methods are iterative in the sense that takes care of each iteration of the model training process and carefully extract those features which contribute the most to the training for a particular iteration.

Let’s discuss some of these techniques here:

LASSO Regularization (L1)

Regularization consists of adding a penalty to the different parameters of the machine learning model to reduce the freedom of the model, i.e., to avoid over-fitting. In linear model regularization, the penalty is applied over the coefficients that multiply each predictor. From the different types of regularization, Lasso or L1 has the property that can shrink some of the coefficients to zero. Therefore, that feature can be removed from the model.

Random Forests is a kind of Bagging Algorithm that aggregates a specified number of decision trees. The tree-based strategies used by random forests naturally rank by how well they improve the purity of the node, or in other words, a decrease in the impurity (Gini impurity) over all trees. Nodes with the greatest decrease in impurity happen at the start of the trees, while notes with the least decrease in impurity occur at the end of the trees. Thus, by pruning trees below a particular node, we can create a subset of the most important features.


We have discussed a few techniques for feature selection. We have purposely left the feature extraction techniques like Principal Component Analysis, Singular Value Decomposition, Linear Discriminant Analysis, etc. These methods help to reduce the dimensionality of the data or reduce the number of variables while preserving the variance of the data.

Apart from the methods discussed above, there are many other feature selection methods. There are hybrid methods, too, that use both filtering and wrapping techniques. If you wish to explore more about feature selection techniques, great comprehensive reading material, in my opinion, would be ‘Feature Selection for Data and Pattern Recognition’ by Urszula Stańczyk and Lakhmi C. Jain.

Key Takeaways

Understanding the importance of feature selection and feature engineering in building a machine learning model.

Familiarizing with different feature selection techniques, including supervised techniques (Information Gain, Chi-square Test, Fisher’s Score, Correlation Coefficient), unsupervised techniques (Variance Threshold, Mean Absolute Difference, Dispersion Ratio), and their classifications (Filter methods, Wrapper methods, Embedded methods, Hybrid methods).

Evaluating the performance of feature selection techniques in practice through implementation.

Frequently Asked Questions Related

How To Change The Keyboard Language In Os X

When you purchase a new Mac and start setting it up for the first time, you have the option to choose the layout for the keyboard that comes with it. Normally, everybody selects English as their default input language. However, after using your brand-new Mac for quite a while, you may want to change the input language for the keyboard. For example, if you bought a Mac with a QWERTY keyboard but set it up with the French input language, you may want to change the keyboard to the AZERTY layout.

In such instances, there are two things to consider. The first is the logical system input which is configured directly in OS X, and the second is the actual physical layout of the keys. We’ll first show you how to change the input source in OS X, and then options for changing your physical keyboard.

The “Language & Region option” in OS X lets you change the language used all around in your Mac, from input in Word to Google Chrome. It also lets you format substitute symbols for text; change date, time, number, currency and measurement units to those used in another country; and switch the keyboard language or layout to a language other than English.

Change The Keyboard Input Language In OS X

1. Open up System Preferences from the Apple Menu, or by searching for it in Spotlight.

2. Once opened, locate and open “Language & Region”, which should be present in the first row of settings.

5. Now, in the left pane, you should see your added keyboard input source. Before exiting System Preferences, be sure to check “Show Input menu in menu bar”.

You can also use two keyboard shortcuts to switch through input sources by enabling them following the procedure below:

2. Switch to the tab “Shortcuts.”

3. From the left hand pane, select “Input Sources”.

5. You can now use “Command + Space” and “Command + Option + Space” to switch between the previous and next keyboard input source respectively.

Change Keyboard Input Language For OS X Lock Screen

If you also want to make a language other than the default one available for keyboard input in the login screen, follow the steps given below:

3. Enter your password in the popup box when prompted, and then check “Show Input Menu in Login Window.”

Options To Change Your Physical Key Input

If you own an iMac or any other desktop system, you’re in luck. Apple offers wireless keyboards available in different languages which you can easily order from Apple’s own site for $69.

Solutions will be a little more harder for all of you out there who are looking to change the keyboard of your Mac notebook. You can either choose to take your Macbook to an Apple Authorized Technician and tell them to change the keyboard to a language and format you want, although at several hundred dollars, this is not the cheapest option. We’d recommend using an external keyboard with your Macbook if you can, as you can easily buy one with your own language input source online. You can also buy a keyboard cover or key caps with your language input, many of which are easily available.

Just keep in mind, the next time you buy a new Mac, be sure to choose the keyboard source input language and format you want it in, as changing this later can be quite of a hassle, especially if you’re a fan of Mac notebooks.

Shujaa Imran

Shujaa Imran is MakeTechEasier’s resident Mac tutorial writer. He’s currently training to follow his other passion become a commercial pilot. You can check his content out on Youtube

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How To Use Solidpoint Ai For Free

SolidPoint AI is an incredibly useful tool that can assist you in summarizing and transcribing videos and documents quickly and efficiently. Whether you’re a student, researcher, or simply someone who wants to gather key points from a video, SolidPoint AI can be an invaluable resource. In this article, we will guide you through the process of using SolidPoint AI for free.

SolidPoint AI is a powerful research assistant that simplifies the task of summarizing and transcribing videos and documents. With its user-friendly interface and robust functionality, SolidPoint AI has gained popularity among professionals and students alike.

See More : How to Use HeyGen AI?

To begin using SolidPoint AI for free, follow these simple steps:

Look for the “Summarize” button on the website’s homepage.

To summarize a YouTube video using SolidPoint AI, follow these steps:

Copy the URL of the YouTube video you wish to summarize.

Return to the SolidPoint website and paste the YouTube video URL into the designated field.

Allow SolidPoint AI a few moments to process the video and generate a summary.

Once the summary is ready, read through it to quickly gather the key points from the video.

SolidPoint AI offers a range of features and capabilities that make it an indispensable tool for researchers and content creators:

SolidPoint AI can summarize documents ranging from a few hundred to several thousand words in just minutes, saving you valuable time and effort.

It can also transcribe audio and video files, making it easier to review and reference important information.

SolidPoint AI allows you to search for specific terms and phrases within your documents, enabling you to find relevant information quickly and efficiently.

Also Read : How To Remove Clothes With Clothes Remover Website?

SolidPoint AI understands the importance of complying with privacy regulations to protect user data.

Compliance ensures that all data is collected, used, and disclosed in accordance with applicable laws.

By adhering to privacy regulations, SolidPoint AI guarantees that user privacy remains a top priority.

Only the minimum amount of data necessary to provide its services is collected.

By limiting data collection, SolidPoint AI minimizes the risk of unauthorized access, use, or disclosure of user information.

Robust security measures are implemented to safeguard user data from potential threats.

SolidPoint AI takes steps to process personal information into anonymous data.

By removing personally identifiable information, user data is protected from being linked to specific individuals.

Anonymous data processing ensures that individual identities are preserved while still allowing for meaningful data analysis and insights.

SolidPoint AI provides a comprehensive privacy policy that outlines its practices regarding the collection, use, and disclosure of user information.

The privacy policy is designed to be transparent, informative, and easily accessible to users.

It informs users about the types of data collected, how the data is used, and the measures taken to protect user privacy.

The privacy policy serves as a guiding document that empowers users to make informed decisions about their data.

1. Is SolidPoint AI completely free to use?

Yes, SolidPoint AI offers a free version that allows users to access its core features.

2. Can SolidPoint AI summarize long documents?

Absolutely! SolidPoint AI can summarize documents ranging from a few hundred to several thousand words in just minutes.

3. Does SolidPoint AI have a search function?

Yes, SolidPoint AI provides a search functionality that allows users to find specific terms and phrases within their documents quickly.

4. Is SolidPoint AI compliant with privacy regulations?

Yes, SolidPoint AI takes user privacy seriously and ensures compliance with all privacy regulations.

5. How can I get support if I have questions or concerns?

SolidPoint AI offers contact information for user support, allowing you to reach out for assistance whenever needed.

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How To Use Storage Sense In Windows 11 To Free Up Disk Space

Storage Sense in Windows 11 is a great way to manage your computer’s storage. When configured, it can automatically empty the Recycle Bin, delete temporary files, and do other things to organize your storage. In this post, we show you how to turn on, configure and use Storage Sense in Windows 11 to free up disk space by deleting junk files automatically or manually. So, without wasting any time, let us see how to manage Disk Space using Storage Sense in Windows 11 Settings.

Use Storage Sense in Windows 11 to free up disk space

Enable Storage Sense on your Windows 11

First of all, you have to enable Storage Sense on your Windows 11 computer from the Settings app. Follow the given steps to do the same.

Open Settings by Win + I or from the Start Menu.

Now, use the toggle to enable Storage Sense.

Alternatively, you can also search out “Storage Sense” from the Start Menu and then enable the toggle.

Configure Storage Sense

Cleanup of temporary files: You can enable this toggle if you want Storage Sense to delete temporary files.

Automatic User content cleanup: To run Storage Sense automatically.

Run Storage Sense: From here you can select when you want to run Storage Sense. The options are:

Every day

Every week

Every month

During low free disk space (default)

Delete files in my recycle bin if they have been there for over: Select the lifespan of your bin files, after which they ought to be deleted by Storage Sense. The options are:


1 day

14 days

30 days

60 days.


1 day

14 days

30 days

60 days.

Locally available cloud content: To clean up unused items from your Cloud Storage. The options are:


1 day

14 days

30 days

60 days.

Related: How to delete Files older than X days in Windows

Run Storage Sense manually

Storage Sense Cleanup Recommendations

There are mainly four sections under Cleanup recommendations that you can access to find and clean temporary items and other data to free up disk space. These are:

Windows Update Cleanup: Cleaning the copies of installed updates can help you gain disk space is GBs

Temporary files stored by Microsoft Store apps or programs in specific folders

Temporary Internet Files

DirectX Shader Cache

Delivery Optimization Files (used for) downloading updates from Microsoft, etc.

Unused apps: If some apps are not being used for a very long time and occupying the disk space unnecessarily, then a list of those apps is visible in this section. You can select those apps and perform the clean-up action for your Windows 11 PC

Files synced to the cloud (if any)

Large or unused files: Here, you will see items and select those items that you don’t want anymore.

Free up storage space on other drives in Windows 11

Windows 11 Storage Sense feature is pretty good. However, this feature works for the system drive only (C drive or the drive where you have installed Windows) and not the other drives. So, if you want to free up space on other drivers in Windows 11, then use the following steps:

Open the Settings app using Win+I hotkey

Select the System category

Access the Storage page

Expand the Advanced storage settings in the Storage management section

Select a drive.

Now you will be able to see the storage space used by different categories (Apps, Pictures, Temporary files, Music, Documents, etc.) in the selected drive and access any category to take further action.

How to remove Temporary files in Windows 11

To remove Temporary files in Windows 11, you have to follow the given steps.

Open Settings.

Wait for a few minutes as Windows will automatically clean up your system.

How do I find out how big my Hard Drive is in Windows 11/10?

The easiest way to find the size of your Hard Drive is to open File Explorer, and see the figures mentioned for each of the partitions and add them. You will get to know how big your Hard Drive is.

How do I free up disk space on Windows 11?

If you want to free up disk space on Windows 11, then one of the best and recommended options is using the Storage Sense feature. It helps to automatically clean temporary app and system files, copies of installed updates, etc. You can configure it to run every day, every month, etc., and also set other options. This post covers all the steps to enable, configure, and use Storage Sense in Windows 11.

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