Want more tips and tricks? (⁠click here⁠)

🐷 WUPPLES® AI Creation Magic (1 of 7)

Want more tips and tricks? (⁠click here⁠)

#wupples #wupplesai #ai #artificialintelligence

Hi!

In our last lesson, we looked at how AI is used in social

media.

Today, let’s discuss how chatbots work so you can see

what they could do for your business.

Bots and chatbots are relatively new in the modern

marketplace.

A chatbot is a computer program that’s designed and programmed

to simulate human conversation.

Your customers will interact with the chatbot using either a

computer interface or voice recognition.

It’s just as if they were communicating with an actual human.

Chatbots can interpret the words a person types in or says and

reply with a pre-programmed answer.

There are three basic types of chatbots:

• Rule-based Chatbots:

These bots simply give a pre-set answer to very specific

questions. They’re great for a FAQ (Frequently Asked Questions)

or for qualifying leads.

• Intelligent Chatbots:

These bots use machine learning (ML) to actually learn from the

user’s questions and information.

They are programmed to recognize specific words and phrases that

trigger a specific reply. Over time, they figure out how to

understand more questions and give even better replies.

• AI-powered Chatbots:

These bots are like the best of both of the previous chatbots

put together.

They can remember the context of a conversation and under

user preferences. They use a combination of ML, AI, and

natural-language processing to understand your customers

and solve their problems.

There are also three classification methods used to

run a chatbot:

• Pattern-matching:

This allows a chatbot to classify text and give a programmed

response based on the keywords used.

In pattern-matching, the chatbot only knows the answers to

questions programmed into it. It cannot go beyond the

patterns it has been given.

• Algorithms:

Algorithms are how developers reduce the classifiers and create

a more manageable structure.

For every type of question, a unique pattern must exist in the

bot’s database so it can provide the correct reply.

Using various combinations, you can create a hierarchical

structure.

• Artificial Neural Networks:

These give the bots a way to calculate their response to a

question based on weighted connections and context.

Every sentence given to a chatbot is broken down into different

words and each word is used as an input for the neural network.

Over time, the network learns and becomes more advanced, allowing

the bot to create more accurate responses to common questions.

You can see how each type of chatbot might work within your

business, to provide answers for your customers’ questions or

help them learn more about your products and services.

And this basic information should help you decide which

type of bot you need.

Until next time.

🐷 WUPPLES®

#artificialintelligence #artificialintelligenceai #artificialintelligencedigitalmarketing #artificialintelligencece #artificialintelligenceininsurance #artificialintelligencemarketing #artificialintelligencementalhealth

Want more tips and tricks? (⁠click here⁠)

#wupples #wupplesai #ai #artificialintelligence

Hi!

In our last lesson, we discussed how your favorite streaming services

can learn your taste and suggest something you might like to view or

listen to next.

Today, we’ll talk about how AI helps social media.

Social media has given the world a soapbox from which to speak.

However, with that freedom of speech comes the possibility of

cybercrime, cyberbullying, hate speech, etc.

Many social media platforms are now using artificial intelligence

to help control these crimes—and to provide users with other

entertaining features.

Artificial intelligence can spot and take down hate speech faster

than a human could.

They do this by targeting keywords, symbols, and phrases in various

languages.

Computer scientists have fed these into the system, which has further

capacity to add neologisms to its dictionary.

One important component of this process is the neural network

architecture of deep learning. Without this, the AI could not

recognize hate language and remove it.

Emojis are a great way to express emotion, and this digital

language is understood by AI technology.

It can understand the connotation of your text and suggest an

emoji to go with your writing.

The social media AI also has the ability to understand the sort

of content that resonates with you and can suggest similar

content for you.

Facial recognition algorithms are also utilized in social media,

helping you tag your friends with automatic suggestions.

Smart filters can weed out spam or messages you might not want to

read. And you can also enjoy smart replies.

Some of the future plans for the industry include using AI to

identify mental health problems by analyzing the content

consumed and also posted.

In our next lesson we’ll take a look at chatbots and

how they work.

Until then,

🐷 WUPPLES®

#artificialintelligence #artificialintelligenceai #artificialintelligencedigitalmarketing #artificialintelligencece #artificialintelligenceininsurance #artificialintelligencemarketing #artificialintelligencementalhealth

Want more tips and tricks? (⁠click here⁠)

#wupples #wupplesai #ai #artificialintelligence

Hi,

In our last lesson, we looked at how AI scans your

text to suggest which word you may want next or

to correct your grammar or spelling.

Today, let’s discuss how your favorite streaming

service knows your tastes so well.

Have you ever wondered how Netflix or Spotify seem

to know your tastes and suggest exactly the sorts of

songs and movies you’ll enjoy?

Artificial intelligence systems are able to learn

your behavior and interests from your online choices

so they can offer you similar content.

Amazon does the same when you purchase a book,

suggesting similar titles for your next purchase.

This personalized experience is made possible by

continuous learning.

Information is collected from the user (you), stored

by the artificial intelligence, and analyzed by

machine and deep learning.

By learning what you have chosen so far, the AI is

able to predict your preferences and keep you

entertained.

The more choices you make, the better the artificial

intelligence is able to understand you.

An optimized search engine is another example of this

technology.

When you type in your keywords, the first few results

usually answer your question.

How does the AI do it?

Quality-controlling algorithms are fed with information

so they can recognize high-quality over poor content

that has been spammed with SEO.

This helps the AI make an ascending order of search

results based on quality for the best user experience.

Since search engines are made up of code, natural

language processing technology helps these applications

to understand you, the human user.

By compiling top-ranked searches, they can even

predict what you might want to ask next.

As you begin to type, the AI offers various suggestions

for your query, and often they include the exact

question you were thinking of.

New features like voice and image search are also

constantly being programmed into the artificial

intelligence algorithm.

If you hear a great song playing at a restaurant,

simply hold your phone up to the speaker and a

music-identifying app can tell you what that song

is within a few stanzas.

Then, after sifting through its database, the AI

can offer details about that song and the musicians

singing.

You can do the same with images now, too. Simply scan

or copy an image and the AI can tell you where it

came from and what it’s showing you.

In our next lesson, we’ll talk about how artificial

intelligence assists social media.

Until then,

🐷 WUPPLES®

#artificialintelligence #artificialintelligenceai #artificialintelligencedigitalmarketing #artificialintelligencece #artificialintelligenceininsurance #artificialintelligencemarketing #artificialintelligencementalhealth

Want more tips and tricks? (⁠click here⁠)

#wupples #wupplesai #ai #artificialintelligence

Hi there,

In our last lesson we talked about facial recognition

software and how AIs are involved in that.

Today, we’ll discuss autocorrect and text editing

software.

Who hasn’t had a run-in with their autocorrect feature?

You’re typing (or talking) away, and suddenly you realize

your phone or computer has changed the word you meant

to type into something entirely different?

Or perhaps you’re not certain of the spelling of a word.

You begin typing the letters you know, and suddenly the

rest of the word appears on the screen, correctly spelled.

Have you ever thought about how amazing that is?

It takes people a good long time to become fluent in a

language.

So how does a computer do the same thing?

Artificial intelligence algorithms use machine learning,

deep learning, and natural language processing to follow

and identify language, spelling, and word usage.

This allows the AI to suggest the correct word or to

flag your choice as a misspelling or incorrect grammar

usage.

In case you haven’t noticed yet, the technology still

makes mistakes, sometimes suggesting nonsense words or

grammar that isn’t correct after all.

But most of the time, the AI is pretty spot on with its

suggestions.

In order to teach an AI grammar, you need linguists and

computer scientists working together.

They feed the computer huge amounts of high-quality

language information to teach it what is right and what

is wrong.

This is organized so that the AI can understand it.

Then, when you put even a comma in the wrong place, the

AI will flag it for you.

Artificial intelligence is capable of sorting through vast

quantities of information, like your documents and text,

and spotting errors or making suggestions.

The next time your phone suggests a word for you, or your

Word document’s grammar check redlines your punctuation,

you can be sure an AI is behind those suggestions.

And the technology is only going to get better as time

goes by and it learns more and more of the language.

In our next lesson, we’ll find out how Netflix and

Spotify know your tastes so well.

Until then,

🐷 WUPPLES®

#artificialintelligence #artificialintelligenceai #artificialintelligencedigitalmarketing #artificialintelligencece #artificialintelligenceininsurance #artificialintelligencemarketing #artificialintelligencementalhealth

Want more tips and tricks? (⁠click here⁠)

#wupples #wupplesai #ai #artificialintelligence

Hi!

In our last email, we took a look at mapping applications and how AI works behind the scenes to give you a smoother drive.

In today’s email, we’ll discuss how face recognition works.

Facial recognition is pretty much ingrained into our lives nowadays, whether you realize it’s there or not.

And whether or not you’ve thought about it, that’s artificial intelligence.

Think about a Zoom meeting filter, for example.

The application has to recognize blobs of color as a human face before it can apply that filter.

If you use facial identification to unlock your phone, not only does the AI have to recognize a face when it “sees” one, but it has to recognize your individual features.

And that’s not even the beginning of facial recognition.

You need to be able to understand how the face changes when the owner turns their head, looks downward or upward, or shows emotion.

What if you can’t see the entire face at all?

How do you recognize someone you know if all you can see is their eyes, or the lower half of their face?

AI must be able to solve this problem.

AIs are taught to identify certain facial coordinates—denoted X, Y, W, and H, they form a square around the face as an area of interest.

They also look for landmarks like eyes, mouth, etc., and alignment of the face (geometric structure).

This takes our human ability to recognize faces to a whole new level.

An AI can recognize faces even faster than a human and can extrapolate features from partial faces they spot.

Intelligent machines can thus match—and often exceed—human capacity in this area.

Imagine the uses of such an application.

Not only can your phone recognize you and use your individual features to secure your property, it can also apply a playful filter to that face for a photograph or Zoom meeting.

Facial recognition can also be harnessed for other security situations.

Gatwick Airport in London is already using facial recognition cameras to double-check IDs before allowing passengers to board the plane.

Police can use the same software for surveillance, or to pick a suspect out of a crowd.

Artificial intelligence has changed the way we look at one another, both literally and figuratively.

In our next lesson, we’ll take a look at the ever-annoying autocorrect feature and how artificial intelligence is involved in that.

#artificialintelligence #artificialintelligenceai #artificialintelligencedigitalmarketing #artificialintelligencece #artificialintelligenceininsurance #artificialintelligencemarketing #artificialintelligencementalhealth

Want more tips and tricks? (⁠click here⁠)

#wupples #wupplesai #ai #artificialintelligence

Hi!

In our last lesson, we talked about virtual assistants.

Today, let’s discuss how those AI maps actually work.

You might not have even realized you were dealing with artificial intelligence when you pulled up your GPS or Google Map.

You don’t even have to think about much nowadays when you’re traveling: just pull up the app and set your destination.

No more hard-to-fold paper maps.

No written directions.

No trying to navigate by landmarks you’ve never seen before or streets whose signs are missing.

Google or Tom-Tom will do everything for you.

But how does the application know the route, the exact directions, and even road barriers and traffic congestion?

How does it know how to pronounce street names—well, most of them, anyhow?

It wasn’t too long ago that GPS—the satellite-based navigation system—was the only guidance you could use for your commute.

Nowadays, artificial intelligence is involved in the process.

The AI gives users a far more enhanced experience during their journeys.

Once a human programmer has identified things like the edges of buildings, the app algorithm uses machine learning to recognize these edges.

This allows for the addition of clear visuals of buildings on the map.

Another AI feature is the ability to recognize and decode handwritten house numbers.

This allows the computer to guide you to the correct destination.

Any places without formal street signs or house numbers can be identified by their outlines or by handwritten labels from the programmers.

The artificial intelligence has also been taught about traffic.

It can understand and identify traffic patterns, so it can recommend the best route to avoid congestion or roadblocks.

The traffic patterns also help the AI calculate the exact time it will take the driver to navigate to their destination.

Drivers can even view photographs of their location before they arrive, so they can recognize the buildings when they approach the destination.

Most of the ride-sharing and food delivery applications also use this technology, so that you can watch your driver navigate their way to your location.

Whenever you call an Uber by clicking your location on the map, this is how the AI works behind the scenes.

This is new technology, changing the face of your GPS and allowing you a smoother drive.

Artificial intelligence can change your route if you miss a turn, allow for heavy traffic, and even give you different options based on your preferences.

In our next lesson, we’ll look at face recognition and how artificial intelligence makes it work.

#artificialintelligence #artificialintelligenceai #artificialintelligencedigitalmarketing #artificialintelligencece #artificialintelligenceininsurance #artificialintelligencemarketing #artificialintelligencementalhealth

Want more tips and tricks? (⁠click here⁠)

#wupples #wupplesai #ai #artificialintelligence

This week, we’re talking about artificial intelligence and how entrepreneurs like you can use it to stand apart from the competition.

Today, let’s take a look at virtual assistants.

What are they and how are they used?

Since 2011, with the introduction of Siri, virtual or digital assistants have become ingrained into our everyday user experience.

They’re doing more and more for us and they’re popping up wherever we are.

Apple’s Siri, Amazon’s Alexa, Microsoft’s Cortana, and Google Assistant have become our voice-activated helpers for organizing our schedules, searching for information, and handling all sorts of mundane tasks in a more intuitive fashion.

So what is a virtual assistant?

They’re also called digital assistants or voice assistants, and they’re essentially an app or agent that allows you to give commands or ask questions using natural language.

You can find one on your smartphone, your desktop, or within a connected speaker.

You can call one up in specific apps and services whenever you need it.

For example, Google Assistant can now be found on Android devices like the Pixel and the Google Allo chat app and is well on the way to iPhones and televisions.

One thing to keep in mind: a virtual assistant isn’t the same as a chatbot.

Chatbots do give you a similar experience, though.

Both allow you to use conversation to interact with a virtual agent.

However, chatbots usually use text to communicate, not verbal speech.

Think of a chatbot as a targeted app of what a virtual assistant can do.

Chatbots are getting smarter, but their Number 1 job for a business is still as a virtual agent for a specific brand, app, or service.

Chatbots help your customers do things like shop, book travel, get customer support information, complete e-commerce transactions, and submit helpdesk tickets through that conversational interface.

So if a chatbot is a virtual agent doing a task within a specific task, then you can think of a virtual assistant as the next step when you give the AI free rein within your operating system.

In our next lesson, we’ll take a look at how AI mapping works.

#artificialintelligence #artificialintelligenceai #artificialintelligencedigitalmarketing #artificialintelligencece #artificialintelligenceininsurance #artificialintelligencemarketing #artificialintelligencementalhealth

Want more tips and tricks? (⁠click here⁠)

#wupples #wupplescrypto #crypto #yieldfarming

Today, we’ll talk about Uniswap farming.

Uniswap is one of the most well-established Ethereum-based AMM protocols in the space, and arguably the largest liquidity pool in decentralized finance (DeFi).

Uniswap allows liquidity providers (LPs) to earn fees as a reward for adding their capital to the pool.

On Uniswap, liquidity pools are structured between two assets in a 50-50 ratio, a model typical of automated market makers (AMMs).

LPs are of vital importance to Uniswap’s functionality as a DEX.

They provide the liquidity and collateral needed for the protocol to execute trades in a decentralized manner.

In fact, every time someone executes a trade through the liquidity pool, the LPs who contributed to that pool earn a fee for facilitating the transaction.

The exchange has a trading fee of 0.30% for every token swap, but instead of going to Uniswap, these fees are given to the LPs as a reward for providing capital.

Unlike most DEXs, Uniswap doesn’t have order books.

Its liquidity is maintained through the liquidity pools.

This means anyone can become a liquidity provider for a token pair on Uniswap simply by depositing equal amounts of each token in exchange for token pools.

For example, if you wanted to add liquidity to an ETH-DAI pool on Uniswap, you’d have to add the exact same amount of each token to the pool.

For example, let’s say 1 ETH equals 2,270 DAI. If you wanted to provide liquidity to the pool with 3 ETH, the necessary 50-50 ratio would end up with 3 ETH and 6,810 DAI.

To add liquidity to a Uniswap pool and start yield farming, you will need to go to uniswap.org and click “Launch App,” then click “Pool.”

Next, connect your wallet, at which time you can either browse through popular liquidity pools by clicking on “Top Pools” or can click on “New Position” and select your preferred token pair.

Remember to review the preferred fee tier before finalizing anything.

Uniswap offers 3 different fee tiers for every token pair: 0.05%, 0.3%, and 1.0%.

The lowest fee is ideal for assets that trade at a fixed or highly correlated rate, such as stable coins.

The 0.3% fee is best for most pairs, and the ones that undergo price fluctuations such as ETH-DAI for example.

This higher fee tier is more likely to compensate farmers for the greater risk they take on relative to the stable coin.

The 1.0% fee is primarily used for exotic pairs, and is implemented to reward farmers for taking on major risks on their assets.

Next, you need to set your price range.

Uniswap allows you to select a specific range in which you can provide liquidity, which is one of the perks of a recent upgrade.

This means if prices move outside your selected range, the user’s position will be concentrated in one of the two assets and will not earn any interest until prices come back into the range.

Now, all you have to do is deposit the desired token amounts and you’re off and farming!

#cryptocurrency #crypto #cryptocurrencies #cryptonews #cryptotrading #cryptocurrencynews #cryptotrade #cryptolife #cryptoworld #cryptomining #cryptomeme #cryptography #cryptokeys #cryptos #cryptomemes #cryptocoin #cryptotrader #cryptocurrencytrading #cryptocoins #Crypton #cryptomoneda #cryptolifestyle #cryptomoney #cryptozoology #Cryptocurency #cryptorevolution #cryptocurrencyinviestments #cryptotraders #cryptoinvestor #cryptowallet

Want more tips and tricks? (⁠click here⁠)

#wupples #wupplescrypto #crypto #yieldfarming

In our last lesson, we talked about the future of yield farming.

Today, we’ll look at farming on Compound.

Compound is an Ethereum-based protocol that allows lending and borrowing of cryptocurrency assets.

The lender offers a loan by providing liquidity to the Compound platform, then they get interest on the loan supplied.

The lender’s interest is then calculated based on the ratio of supply and demand for that particular cryptocurrency provided, which (of course) may fluctuate over time.

Lending capital on DeFi money markets like Compound and Aave is about the easiest way to earn returns in decentralized finance (DeFi).

You can deposit stable coins like DAI or USDC to either of them and start earning yield instantly.

Aave usually has better rates than Compound because it gives borrowers the ability to choose a stable rate of interest instead of a fluctuating, variable rate.

This stable rate tends to be higher for borrowers than the variable rate, which increases the marginal return for the lenders.

However, one of the most appealing additions made by Compound is the incentive mechanism for yield farmers through the issuance of its native governance token, COMP.

In fact, anyone who lends or borrows on the Compound platform can farm a certain amount of the COMP tokens.

Currently, 2.312 COMP tokens are distributed daily across the Compound user base—meaning that, at about $400 per COMP token, more than $920,000 additional rewards will be given out each day.

These COMP farming rewards are, of course, diluted across the platform’s 294,000 suppliers/farmers and 8600 borrowers.

Despite the relatively low APYs, the incentive for users to farm on Compound remains amazingly high.

In addition, Compound has its own native interest-bearing tokens called cTokens, which are used to pay yield farmers for supplying liquidity to the protocol.

When farmers supply and lock SETH on Compound, for example, the protocol automatically generates ScETH tokens, which earn farmers interest and can be redeployed on other DeFi platforms as well.

Farmers can then redeem their cETH for ETH at any time, plus their staking rewards.

For beginning yield farmers, it’s advisable to start farming with the Compound platform because of the COMP incentive and its ease of use.

You’ll just need to acquire some crypto used on the platform, such as ETH, BTC, and stable coins such as DAI, USDT, USDC, and BUSD (for BSC farming).

Remember you’ll be paying a small ETH transaction fee to move your funds around.

It’s important to note that the more assets a yield farmer supplies, the more potential borrowing power they’ll have.

Basically, the more you have, the more you can get back.

In our next lesson, we’ll look at farming on Uniswap.

#cryptocurrency #crypto #cryptocurrencies #cryptonews #cryptotrading #cryptocurrencynews #cryptotrade #cryptolife #cryptoworld #cryptomining #cryptomeme #cryptography #cryptokeys #cryptos #cryptomemes #cryptocoin #cryptotrader #cryptocurrencytrading #cryptocoins #Crypton #cryptomoneda #cryptolifestyle #cryptomoney #cryptozoology #Cryptocurency #cryptorevolution #cryptocurrencyinviestments #cryptotraders #cryptoinvestor #cryptowallet