how to make a wikipedia article simpler

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How to Translate the Text in a Wikipedia Article

Last Updated: May 12, 2023

wikiHow is a “wiki,” similar to Wikipedia, which means that many of our articles are co-written by multiple authors. To create this article, 13 people, some anonymous, worked to edit and improve it over time. This article has been viewed 69,675 times. Learn more...

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It all starts with an ask

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To write an LLM AI prompt that Semantic Kernel is uniquely fit for, all you need is a concrete goal in mind — something you would like an AI to get done for you. For example:

I want to make a cake. Give me the best chocolate cake recipe you can think of.

Congratulations! You have imagined a delicious ask for Semantic Kernel to run to completion. This ask can be given to the Planner to get decomposed into steps. Although to make the Planner work reliably, you'll need to use the most advanced model available to you. So let's start from writing basic prompts to begin with.

Skills are currently being renamed to plugins. This article has been updated to reflect the latest terminology, but some images and code samples may still refer to skills.

Writing a simple prompt

Writing prompts is like making a wish. Let's imagine we are entrepreneurs trying to make it in downtown Manhattan and we need to drive more leads to our store. We write the prompt:

The result of this prompt from an actual LLM AI model is:

Let's try another example where we are eager to play with the summarizing capability of LLM AIs and want to show off its superpower when applied to text that we explicitly define:

And there we have it. Two simple prompts that aren't asking the model for too much: 1/ we're asking the model to give us a marketing slogan, and separately 2/ we're asking the model to summarize a body of text down to two sentences.

Both of these simple prompts qualify as "functions" that can be packaged as part of an Semantic Kernel plugin . The only problem is that they can do only one thing — as defined by the prompt — and with no flexibility. We set up the first plain prompt in Semantic Kernel within a directory named SloganMaker into a file named skprompt.txt :

Each of these directories comprise a Semantic Kernel function. When both of the directories are placed inside an enclosing directory called TestPlugin the result is a brand new plugin.

This plugin can do one of two things by calling one of its two functions:

Next, we'll show you how to make a more powerful plugin by introducing Semantic Kernel prompt templates. But before we do so, you may have noticed the config.json file. That's a special file for customizing how you want the function to run so that its performance can be tuned. If you're eager to know what's inside that file you can go here but no worries — you'll be running in no time. So let's keep going!

Writing a more powerful "templated" prompt

Let's say we want to go into the advertising business with AI powering the slogan-side of our offerings. We'd like to encapsulate how we create slogans to be repeatable and across any industry. To do so, we take our first prompt and write it as such as a "templated prompt":

Such "templated" prompts include variables and function calls that can dynamically change the content and the behavior of an otherwise plain prompt. Prompt templates can help you to generate more diverse, relevant, and effective prompts, and to reuse and combine them for different tasks and domains.

In a templated prompt, the double {{ curly braces }} signify to Semantic Kernel that there's something special for it to notice within the LLM AI prompt. To pass an input to a prompt, we refer to the default input variable $INPUT — and by the same token if we have other variables to work with, they will start with a dollar sign $ as well.

Our other plain prompt for summarizing text into two sentences can take an input by simply replacing the existing body of text and replacing it with {{$INPUT}} as follows:

We can name these two functions SloganMakerFlex and SummarizeBlurbFlex — as two new Semantic Kernel functions that can belong to a new TestPluginFlex plugin that now takes an input. To package these two function to be used by Semantic Kernel in the context of a plugin, we arrange our file hierarchy the same as we did before:

Recall that the difference between our new "flex" plugins and our original "plain" plugins is that we've gained the added flexibility of being able to pass a single parameter like:

Templated prompts can be further customized beyond a single $INPUT variable to take on more inputs to gain even greater flexibility. For instance, if we wanted our SloganMaker plugin to not only take into account the kind of business but also the business' location and specialty, we would write the function as:

Note that although the use of $INPUT made sense as a generic input for a templated prompt, you're likely to want to give it a name that makes immediate sense like $BUSINESS — so let's change the function accordingly:

We can replace our TestPluginFlex plugin with this new definition for SloganMakerFlex to serve the minimum capabilities of a copywriting agency.

In Semantic Kernel, we refer to prompts and templated prompts as functions to clarify their role as a fundamental unit of computation within the kernel. We specifically refer to semantic functions when LLM AI prompts are used; and when conventional programming code is used we say native functions. To learn how to make a native function you can skip ahead to building a native functions if you're anxious.

Get your kernel ready

First off, you'll want to create an instance of the kernel and configure it to run with Azure OpenAI or regular OpenAI. If you're using Azure OpenAI:

If you're using regular OpenAI:

Invoking a semantic function from C#

When running a semantic function from your app's root source directory MyAppSource your file structure will looks like:

When running the kernel in C# you will:

In code, and assuming you've already instantiated and configured your kernel as myKernel as described above :

The output will read similar to:

"Ribbons with Seattle Style: Quality You Can Count On!"

Invoking a semantic function inline from C#

It's possible to bypass the need to package your semantic functions explicitly in skprompt.txt files by choosing to create them on-the-fly as inline code at runtime. Let's take summarizeBlurbFlex :

and define the function inline in C# — assuming you've already instantiated and configured your kernel as myKernel as described above :

Note that the configuration was given inline to the kernel with a PromptTemplateConfig object instead of a config.json file with the maximum number of tokens to use MaxTokens , the variability of words it will use as TopP , and the amount of randomness to consider in its response with Temperature . Keep in mind that when using C# these parameters will be PascalCased (each word is explicitly capitalized in a string) to be consistent with C# conventions, but in the config.json the parameters are lowercase. To learn more about these function parameters read how to configure functions .

A more succinct way to make this happen is with default settings across the board:

Links to learn more about prompts

Take the next step

You're now ready to take advantage of the Kernel's pipelining capability.

Compose functions to connect them end-to-end

Additional resources

Accessibility links

Why some people can't tell left from right

A surprising number of people struggle with unravelling their left from their right, even in adulthood (Credit: BBC)

When British brain surgeon Henry Marsh sat down beside his patient's bed following surgery, the bad news he was about to deliver stemmed from his own mistake. The man had a trapped nerve in his arm that required an operation – but after making a midline incision in his neck, Marsh had drilled out the nerve on the wrong side of his spinal column .

Preventable medical mistakes frequently involve wrong-sided surgery : an injection to the wrong eye, for example, or a biopsy from the wrong breast. These " never events " – serious and largely preventable patient safety accidents – highlight that, while most of us learn as children how to tell left from right, not everyone gets it right.

While for some people, telling left from right is as easy as telling up from down, a significant minority – around one in six people , according to a recent study – struggle with the distinction. Even for those who believe they have no issues, distractions such as ambient noise, or having to answer unrelated questions, can get in the way of making the right choice .

"Nobody has difficulty in saying [something is] front and back, or top and bottom," says Ineke van der Ham, professor of neuropsychology at Leiden University in the Netherlands. But telling left from right is different, she says. "It's because of the symmetry, and because when you turn around, it's the other way around, and that makes it so confusing."

Left-right discrimination is actually quite a complex process, calling upon memory, language, visual and spatial processing, and mental rotation. In fact, researchers are only just beginning to get to the bottom of exactly what's going on in our brains when we do it – and why it's much easier for some people than others.

Former US President Donald Trump was briefly flummoxed when leaders were asked to cross hands at a summit in the Philippines in 2017 (Credit: AFP/Getty Images)

How being left-handed changes your brain

Around one in 10 people are left-handed , and studies on twins have shown that genetics has a role to play. A study at the University of Oxford recently revealed four regions in human DNA that seem to play a role in determining if someone is left or right handed.

Those who were left-handed were found to have "mutations" in four genes that code for the body's cytoskeleton – the complex scaffolding that sits within cells to help organise them. Scans of people with these mutations showed that the white matter in their brains had a different structure. The left and right sides of the brains of left-handed people were also better connected than in right-handed people.

"Some individuals can tell right from left innately, just can do it without thinking," says Gerard Gormley, a GP and clinical professor at Queen's University Belfast in Northern Ireland. "But others have to go through a process." In an effort to understand what happens in wrong-sided medical errors, Gormley and his colleagues have conducted research on medical students' experience of making left-right decisions and examined the process.

"First of all, you have to orient right from left in yourself," he says. When the answer doesn't come instantly, participants described various techniques, from making an L shape with their thumb and index finger, to thinking about which hand they use to write, or strum a guitar. "For some people it's a tattoo on their body or a piercing," Gormley says.

Then, when figuring out which side is someone else's left or right, the next step is mentally rotating yourself so you're facing in the same direction as the other person. "If I'm facing you, my left hand will be opposite your right hand," says Gormley. "That idea of mentally rotating an object adds an extra degree of complexity." Other research shows that people tend to find it easier to judge if an image shows a left or right hand by imagining their own hand or body rotating .

Research published by Van der Ham and her colleagues in 2020 found that around 15% of people rate themselves as insufficient when it comes to identifying left and right . Almost half of the four hundred participants in the study said they used a hand-related strategy to identify which is which.

The more asymmetrical someone's body is – in terms of writing hand preference, for example – the easier they find it to tell left and right apart

The researchers used something called the Bergen right-left discrimination test to dig deeper into how these strategies work. Participants looked at pictures of stick people either facing toward or away from them, with their arms in various positions, and had to identify their highlighted hand as their left or right. "It seems simple, but it's kind of frustrating if you have to do a hundred of these as quickly as you can," says Van der Ham.

In the first experiment, the participants sat with their hands on a table in front of them. "There was a very clear effect from how this little stick figure was positioned," says Van der Ham. "If you were looking at the back of the head, so it was aligned with you, people were a lot faster and more accurate." Similarly, when the stick person was facing the participant but had their hands crossed, so their left hand was on the same side as the participant's left hand, people tended to do better.

"That tells us that the body really is involved in this," says Van der Ham. The next question was whether participants were using cues from their body at the time of the test to identify left and right, or referring to a stored idea of their body instead.

To answer that, the researchers repeated their experiment, but this time tested four different scenarios: participants sat with their hands either crossed or uncrossed on the table in front of them, and had their hands either visible during the test, or covered with a black cloth.

But the researchers found that none of those changes influenced test performance. In other words, participants didn't need to actually see their hands in order to use their own body to distinguish right from left.

"We haven't completely solved the issue," says Van der Ham. "But we were able to identify our bodies as being a key element in identifying left from right, and that we consult our body representation as we have it in a more static way."

Mistakes made during medical procedures due to left-right errors have led some surgeons to take extra steps to ensure they operate in the right place (Credit: Tommy London/Alamy)

In Van der Ham's experiments, the boost in performance that came from being in line with the stick person was more pronounced in people who said they use a hand-related strategy to tell left from right in their daily lives, as well as in women generally. The researchers also found that men tended to be faster in responding than women, but the data did not back up previous research showing that men perform better overall in left-right discrimination tests .

How a simple soup can be a gateway to 3 additional meals

I love recipes. Though I teach classes on improvisational cooking, I’m happy for the guidance recipes provide: They set us up with a collection of ingredients that go well together and teach us a bit about technique.

At the same time, in their specificity, recipes may limit how we think about ingredients, by calling for precise amounts and preparations that lead to food waste and inefficiency. Besides leftovers or when we batch cook, one recipe does little to help us get a head start on another meal.

I think this should change.

So how can we benefit from a recipe’s specific instruction and, at the same time, use it as a cooking resource rather than just a path to a specific dish? How can we turn that recipe into a jumping-off point to make us more efficient, waste-conscious and help develop our off-the-cuff cooking mind-set?

Get the printable version of this recipe: Potatoes, Asparagus and parmesan Soup

We can do this by embracing my recipe “supercharge” strategy.

Below, I walk you through how to make a light but robustly flavored soup and then show you how you can take steps toward making a second (or even a third) dish — often at the same time you’re working on the original dish.

If you want to make “supercharging” a habit, you may have to retrain your brain a bit. To start, try making this soup and the recipes that grow from it. This way of cooking is not only good for your schedule, your wallet and the planet but also easy and gratifying to sustain.

‘The Nimble Cook’ can help you become more creative in the kitchen

For instance, while making the soup:

How to clean leeks and do more with the versatile allium

Potatoes, Asparagus and Parmesan Soup

This soup, with its juxtaposition of long-cooked leeks and tender-crisp asparagus, is bright and rich, and hearty but not heavy.

The ginger-garlic-miso paste, along with loads of parmesan, do the heavy lifting to transform plain water into a delicious broth. I reserve the quick-to-make mustard seed butter to swirl into the soup right before serving. This is so the flavor of the butter doesn’t dull while the soup cooks.

Make ahead: Make the soup up to when the potatoes are fully cooked, then refrigerate for up to 4 days When ready to serve, reheat the soup, then add the remaining ingredients.

Get the printable version of this recipe: Potatoes, Asparagus and Parmesan Soup

Active time: 25 mins ; Total time: 40 mins

For the mustard seed butter

2 teaspoons brown mustard seeds

2 tablespoons unsalted butter

Pinch fine salt

For the soup

4 tablespoons unsalted butter

4 teaspoons grated fresh ginger

4 teaspoons minced or finely grated garlic

1 tablespoon yellow miso

1/2 cup crisp white wine, such as vinho verde or sauvignon blanc

1 large leek (14 ounces), pale green and white parts, cut into 1/2-inch pieces (about 2 cups)

1 1/2 pounds small new potatoes, quartered

4 cups water

1 1/4 teaspoons fine salt, divided

8 ounces asparagus, trimmed and sliced on a bias into 1/4-inch pieces (1/8-inch if the stalks are thick)

3/4 cup (1 1/2 ounces) grated parmesan cheese

1/4 cup chopped fresh mixed herbs, such as parsley, cilantro, tarragon and dill, for serving

Lemon wedges, for serving

Make the mustard seed butter: In a large pot over medium heat, toast the mustard seeds until they begin to release their aroma, shaking the pan a couple of times, about 1 minute. Reduce the heat to low and add the 2 tablespoons of butter. Cover and cook until butter melts and begins to sizzle, about 2 minutes. Transfer to a heatproof bowl, scraping the sides of the pot to get all of the mustard seeds. Stir in a pinch of salt and set aside.

Make the soup: Return the pot to medium-low heat and add the remaining 4 tablespoons of butter, the ginger, garlic and miso. Cook, stirring continuously, until the mixture turns into a golden paste, 2 to 3 minutes. It may stick to the bottom of the pot — that’s toasty goodness — but adjust the heat if it starts to burn.

Add the wine, scraping the bottom of the pot, and reduce until the mixture coats the back of a spoon, about 2 minutes.

Add the leeks, reduce the heat to low, cover and cook, stirring occasionally, until the leeks are soft, about 4 minutes.

Add the potatoes, water, and 1 teaspoon salt. Cover, increase the heat to high and bring to a quick boil. Reduce the heat so the soup is at a simmer, and cook until the potatoes are very tender, about 15 minutes.

While the soup is simmering, in a medium bowl, toss the asparagus with the remaining 1/4 teaspoon of salt; set aside.

Once the potatoes are cooked, turn off the heat. Add the asparagus and parmesan and stir well. Let the soup sit in the pot to melt the cheese and lightly cook the asparagus, about 1 minute.

To serve, ladle the soup into individual bowls. Give the mustard seed butter a stir, then add 1/4 teaspoon of the butter, a squeeze of lemon, and sprinkling of fresh herbs to each bowl.

Recipes for putting your supercharging skill to work

Now that you’ve read through the soup recipe and my supercharging tips, let’s put those ingredients and extra preparation to good use.

Ginger-Miso Dressing

You’ve minced extra garlic and ginger, so let’s make this dressing with it. I like to toss it with romaine lettuce and grilled chicken. You can add parmesan cheese and sesame seeds, too.

How to make the dressing: In a small bowl, whisk together 1 teaspoon finely minced garlic, 2 teaspoons grated ginger, 1 tablespoon yellow miso, 2 teaspoons soy sauce, 2 tablespoons plus 2 teaspoons sesame oil, 4 teaspoons rice wine vinegar , and 2 teaspoons sugar . Store the dressing in the refrigerator for up to 2 weeks.

Makes a scant 1/2 cup. Total time: 5 mins.

Caper-Herb Sauce

You’ll have an assortment of your freshly washed herbs left from the soup, so make this sauce to use on smashed, roasted potatoes (below) as well as grilled vegetables or meat.

In a food processor, blend 1 packed cup of mixed herb leaves and stems (from soft herbs, such as parsley, dill and cilantro), 1 clove of garlic, 2 1/2 teaspoons of lemon juice, 2 teaspoons of capers and 6 tablespoons of olive oil until it forms a smooth paste, about 3 minutes. Transfer to a medium bowl, and stir in 2 tablespoons of Dijon mustard , another 6 tablespoons of olive oil and salt to taste. If not using right away, store the sauce in the refrigerator, in a container covered with a thin layer of olive oil to prevent discoloration for up to 1 week.

Makes about 1 cup. Total time: 10 mins.

Crisp Smashed Potatoes

Potatoes are so versatile. When I make the soup above, I double-up the potatoes to get a head start on a side dish for another day:

While the soup is simmering, and since you’re already standing at the stove, you could boil the extra potatoes. These precooked potatoes would be convenient to have around for mashing, dressing for potato salad, or smashing to roast later in the week (as in the recipe below; and remember: One and a half pounds of thin-skinned, small red potatoes (1 1/2 inches wide) is about right as a side for 4 people.)

How to make the potatoes: Place the potatoes in a medium pot and cover with water. Salt generously, then cover, and bring to a quick boil. Reduce to a simmer and cook until just tender, about 10 minutes. Drain the potatoes and spill them out onto a roasting pan.

While still hot, use the bottom of a glass or a measuring cup to smash the potatoes flat until they are about 1/4-inch thick. (At this point, the potatoes could be covered tightly and refrigerated for up to 3 days until you’re ready to roast them.) Brush each side of the potato discs liberally with oil and season with salt. Place the tray on the bottom rack of a 425-degree oven and roast until amber brown and crisp on both sides, about 40 minutes total. Serve as is or with the Caper-Herb Sauce above.

Makes about 4 cups. Total time: 1 hour.

Leek, Herb and Coconut Sauce

This delicious sauce is built on the same robustly seasoned base as the soup, but with a different flavor result. You can serve the sauce on the side as a dip for shrimp, much like a cocktail sauce, or you can toss the sauce with shrimp or grilled pork or just mix it into a big bowl of rice.

How I make the sauce: Place 1 1/2 cups of the cooked leek mixture, 1 1/2 cups (1 13.5-ounce can) of coconut milk, 1 1/2 teaspoons fine salt, 2/3 cup cilantro, 2 serrano peppers, and up to 2 tablespoons lime juice in a blender; puree until smooth. Taste, and add salt and lime juice, if needed. Cover and refrigerate for up to 4 days.

Makes 2 1/2 cups. Total time: 10 mins.

Ronna Welsh is the founder of Brooklyn-based Purple Kale Kitchenworks and author of “ The Nimble Cook .” She teaches in- person and online classes on how to be a more creative and resourceful cook.

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