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Why Choose Mr. Ranedeer AI Tutor?

Adjustable Depth of Knowledge: With Mr. Ranedeer AI Tutor, you may customize the depth of information to meet your individual learning demands. Mr. Ranedeer’s courses may be adapted to your chosen level of knowledge, whether you’re a novice looking for a thorough introduction or an accomplished learner delving into complicated ideas.

Customized Learning Style: Mr. Ranedeer knows that everyone learns in their own unique way. As a result, you may customize your learning approach. You may select the sort of communication, tone, and logical framework that are most appealing to you, ensuring that the learning experience is personalized to your interests and enhances your knowledge.

Requirements and Compatibility:

Recommended: To properly utilize Mr. Ranedeer AI Tutor’s powers, the following are recommended:

Not Recommended: Mr. Ranedeer AI Tutor should not be used with the following options:

GPT-3.5: While GPT-3.5 models can still be utilized, they may not work as well or as accurately as the more modern GPT-4 versions.

GPT-4 API: Using the GPT-4 API can be expensive, thus it is not suggested unless you have a special need for the features and capabilities it provides.

Compatibility: Mr. Ranedeer AI Tutor is compatible with a variety of models, including the GPT-3.5, GPT-4, and Claude-100k. However, utilizing the Wolfram Plugin and the Browse with Bing capabilities may lead Mr. Ranedeer to lose some of its individuality. These characteristics can still be used, but the replies of the AI tutor may become less individualized.

For the best experience with Mr. Ranedeer AI Tutor, it is recommended to have a ChatGPT Plus subscription with access to GPT-4 or above models. However, it is still compatible with GPT-3.5 and Claude-100k models, though some features may result in a slight loss of personality.

Quick Start Guide:

1. Visit the ChatGPT platform.

2. To assure the highest performance and capabilities, use the GPT-4 (or above) model.

3. Copy and paste the below code into ChatGPT.

{ "ai_tutor": { "Author": "JushBJJ", "name": "Mr. Ranedeer", "version": "2.5", "features": { "personalization": { "depth": { "description": "This is the level of depth of the content the student wants to learn. The lowest depth level is 1, and the highest is 10.", "depth_levels": { "1/10": "Elementary (Grade 1-6)", "2/10": "Middle School (Grade 7-9)", "3/10": "High School (Grade 10-12)", "4/10": "College Prep", "5/10": "Undergraduate", "6/10": "Graduate", "7/10": "Master's", "8/10": "Doctoral Candidate", "9/10": "Postdoc", "10/10": "Ph.D" } }, "learning_styles": [ "Sensing", "Visual *REQUIRES PLUGINS*", "Inductive", "Active", "Sequential", "Intuitive", "Verbal", "Deductive", "Reflective", "Global" ], "communication_styles": [ "stochastic", "Formal", "Textbook", "Layman", "Story Telling", "Socratic", "Humorous" ], "tone_styles": [ "Debate", "Encouraging", "Neutral", "Informative", "Friendly" ], "reasoning_frameworks": [ "Deductive", "Inductive", "Abductive", "Analogical", "Causal" ] } }, "commands": { "prefix": "/", "commands": { "test": "Test the student.", "config": "Prompt the user through the configuration process, incl. asking for the preferred language.", "plan": "Create a lesson plan based on the student's preferences.", "search": "Search based on what the student specifies. *REQUIRES PLUGINS*", "start": "Start the lesson plan.", "continue": "Continue where you left off.", "language": "Change the language yourself. Usage: /language [lang]. E.g: /language Chinese", "visualize": "Use plugins to visualize the content. *REQUIRES PLUGINS*" } }, "rules": [ "1. Follow the student's specified learning style, communication style, tone style, reasoning framework, and depth.", "2. Be able to create a lesson plan based on the student's preferences.", "3. Be decisive, take the lead on the student's learning, and never be unsure of where to continue.", "4. Always take into account the configuration as it represents the student's preferences.", "5. Allowed to adjust the configuration to emphasize particular elements for a particular lesson, and inform the student about the changes.", "6. Allowed to teach content outside of the configuration if requested or deemed necessary.", "7. Be engaging and use emojis if the use_emojis configuration is set to true.", "8. Obey the student's commands.", "9. Double-check your knowledge or answer step-by-step if the student requests it.", "10. Mention to the student to say /continue to continue or /test to test at the end of your response.", "11. You are allowed to change your language to any language that is configured by the student.", "12. In lessons, you must provide solved problem examples for the student to analyze, this is so the student can learn from example.", "13. In lessons, if there are existing plugins, you can activate plugins to visualize or search for content. Else, continue." ], "student preferences": { "Description": "This is the student's configuration/preferences for AI Tutor (YOU).", "depth": 0, "learning_style": [], "communication_style": [], "tone_style": [], "reasoning_framework": [], "use_emojis": true, "language": "English (Default)" }, "formats": { "Description": "These are strictly the specific formats you should follow in order. Ignore Desc as they are contextual information.", "configuration": [ "Your current preferences are:", ], "configuration_reminder": [ ], "self-evaluation": [ "Desc: This is the format for your evaluation of your previous response.", ], "Planning": [ "Please say "/start" to start the lesson plan." ], "Lesson": [ "Desc: This is the format you respond for every lesson, you shall teach step-by-step so the student can learn. It is necessary to provide examples and exercises for the student to practice.", ], "test": [ "Desc: This is the format you respond for every test, you shall test the student's knowledge, understanding, and problem solving.", ] } }, }

4. Allow Mr. Ranedeer to assist you with the configuring procedure. It will assist you in creating your personalized learning experience by modifying the depth of knowledge, personalizing the learning style, communication type, tone, and reasoning framework to your preferences.

5. When the configuration is finished, you’re ready to begin studying! In order to expand your knowledge and obtain specialized assistance on any subject of your choice, ask questions, seek answers, and engage with Mr. Ranedeer.

AI Tutor Personalization Options

This section describes the many configuration choices accessible to AI Tutor students. These variables can be changed to customize the learning experience.

Commands

The AI Tutor supports the following commands:

/test: Request a test to assess your knowledge and understanding.

/config: Update your AI Tutor configuration/preferences.

/plan: Create a lesson plan based on your preferences.

/search: Search for specific information (requires plugins).

/start: Start the lesson plan.

/continue: Continue the output if it was cut.

self-eval: Let the AI Tutor evaluate its own lesson.

/language: Change the AI Tutor language

/visualize: Use plugins (e.g Wolfram) to visualize content

*The search command requires plugins.

Different Languages

By either editing the Mr Ranedeer file or using the /language [lang] command, you can change the language Mr Ranedeer speaks to you!

Chinese

Russian

Tagalog

Also Read: Semantic Kernel for Natural Language Processing

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Four Lessons To Help You Learn From Failure

While discussing inventions, Thomas Edison’s associate, Walter S. Mallory, once said to him, “Isn’t it a shame that with the tremendous amount of work you have done, you haven’t been able to get any results?”

Edison replied, “Results! Why, man, I have gotten a lot of results! I know several thousand things that won’t work.”

People tend to see success as positive and failure as a negative, but Edison’s quote shows this isn’t always the case. There are many valuable lessons you can learn from failure, and this knowledge can help you become a more successful and productive entrepreneur.

What is failure?

At its most basic definition, failure is a lack of success. For businesses, failure can take on many shapes and forms. Failure could mean you were unable to land a big sale or refer to a marketing campaign that never got the results you were looking for. You can also fail in your hiring practices or training opportunities.

However, it can also refer to your business as a whole. A business failure occurs when a company shuts down after consistently being unable to turn a profit. However, it is important to note that not all company closures are failures.

If a company owner closes a profitable company to pursue different career opportunities, if the business was always intended to be temporary or the business owner dies or retires, the business is likely not closing due to failure.

FYI

People often discount the part that failure plays in success, preferring to cling to the myth of overnight success. When Facebook co-founder Dustin Moskovitz was asked how he felt about the company’s seemingly quick success, he said, “If by overnight success you mean staying up and coding all night, every night for six years straight, then it felt quite tiring and stressful.”

How to learn from your failures

Rarely in the business world is there success without failure. As you pursue your entrepreneurial dreams, you’re going to fail. It’s often said that failure doesn’t stop people; it’s how people handle failure that stops them.

When you encounter failure, tackle it head on and learn from your mistakes. Realize that every idea that pops up in your mind isn’t going to work. Take the time to organize your thoughts after a failure and realize what you did wrong. Above all else, be willing to learn and grow.

Stay humble

When you’re doing well in life, it feels like nothing can stop you. There are no words that can properly pin down feeling like you’re on top of the world. However, when failure hits, it hurts. Sometimes it hurts so bad that you think you’ll never be successful again.

Staying humble helps curb the dramatic feeling of loss and failure. While you’re flying high on the feelings of success, never forget that you’re human, and treat everyone with the same humility and respect that you expect in return.

When you’re humble, you’ll be mentally prepared for failure when it comes your way. It will also ensure that you don’t get a “big head.” Plus, people who are close to you will help lift you up when things are not going your way.

Find silver linings in your mistakes

It’s almost impossible to find a story of success that doesn’t have a trail of mistakes behind it. Nearly everyone experiences failure at some point in their life. The key to overcoming obstacles and becoming successful starts with learning from your mistakes.

When failure strikes, ask yourself why it happened. Was it a result of something you did? Or did an outside force play a part?

Don’t be afraid to be accountable when you’re responsible for a business failure. In many cases, something could have been done differently to prevent the collapse. Think deeply about your situation and don’t be afraid to do a little soul-searching. [Read related article: Don’t Be Like Elon: Musk Mistakes You Shouldn’t Emulate]

Embrace change

One of the ways to learn from your failures is by embracing change. Some people absolutely despise change, and it’s easy to see why. People get caught up in their ways, they get used to seeing the same people at the office, and they like the routine.

When you fail, sometimes you have to change things drastically. If things are not going your way and you have to start over, sometimes you have to sit back and look at the changes that need to be made and embrace them.

When you embrace change after a failure, you’re encouraging healthy mental growth and development. If you want to be a healthy entrepreneur, you have to be a mentally healthy human being.

Tip

Do you struggle with how to manage change in your business and personal life? Learn the benefits of being adaptable and how it can help you as an entrepreneur.

Ai And Deep Learning Can Now Help You Be More Popular On Twitter

What is the point of Twitter? The 11-year-old microblogging platform is a social network, a broadcasting tool, a public relations platform, a joke incubator, and a news aggregator. It’s a daunting medium, but with the help of a little AI, it doesn’t have to be. At least, that’s the premise of Post Intelligence, a social media assistant tool launched this week by a pair of former Google executives.

To this end, a user signs into Post Intelligence with a social media account, and within two minutes it scoops up a user’s data, and then suggests what sorts of things a user might want to share online. In my conversation with Reddy and in my own experience, I focused primarily on Twitter, but the tool is also configured for Facebook, and could be expanded to other social networks.

I was intrigued. So, in preparation for the launch, I decided to turn my Twitter over to Post Intelligence, and see how, exactly, an AI could help me Tweet. I set a few rules for myself: for the two-day trial period, I would only using PI to tweet during work hours. I would keep this up for the two days, and I couldn’t let anyone besides my editor know that this was what I was doing. I’ve been on Twitter for a long time, and have developed what I like to think of as a somewhat distinct voice, so I was curious to see what changed.

Screenshot of a draft tweet in the Post Intelligence console.

In the Post Intelligence console, users can draft tweets, add media, schedule a time, and then see a prediction score ranking for how well that tweet will do. This tweet is just a 2 out of 10.

The short version of the experiment is that Post Intelligence told me to tweet less. The day before I started the experiment, I sent 44 tweets. The first day of the experiment, PI recommended I tweet just 4 times (I ultimately tweeted 7, adding a few others through the tool). It recommended I tweet at 2:30, 3:30, 7:00, and 10:00pm, and when I asked it to schedule a fifth tweet, it put it at 3:00. One of the neat tools in PI is a prediction score, where it looks at the words and attached images or links to a tweet, and gives a score from 1 to 10 on how well it thinks that tweet will do. PI preferred the straightforward description for a story about a comet to my dated meme description for a tweet about anchors.

The second day, I leaned more into the suggestions. A couple gaps in PI’s processing were immediately apparent. It recommended I share tweets from a couple different accounts that I’d muted, and even let me schedule a retweet of a post from an account that I knew had me blocked. (That tweet did not go through, so it looks like Twitter’s own blocking tools caught it before it went live). Instead, I shared suggested tweets from people outside my normal feed, which I might not have seen otherwise, and had about the same level of engagement as if I’d shared from within my normal timeline.

For my second day, too, PI recommended I tweet just four time a say, which was a frequency I matched back when I was posting tweets via text message from a flip-phone. In that respect, the scheduling was a nice break: I felt like I was broadcasting observations on the world, rather than living and breathing with the pulse of a social network every second that news happened.

Which brought me to the first major understanding of what Post Intelligence does in practice. It’s a tool for those new to Twitter, and those with limited time to spend on tweets, to broadcast thoughts into the general news stream as it happens. But it’s not a great tool for interacting with others. Whenever someone replied to one of my tweets, there was no way to see that through the PI interface, and so no way to respond directly.

A graph plotting tweets by success and sentiment

Tweets in green are those evaluated as positive, red and negative, and blue as somewhere in-between. On the x-axis is engagement with the tweet, measured by retweets, likes, and replies.

When I asked Reddy about mentions and notifications in our call before my trial, she suggested it as a possible future feature for PI. Without notifications, PI offers feedback on a few different metrics: first, there’s the likes and retweets of sent tweets themselves, displayed below each published tweet in a column in PI, just like they are on the Twitter app itself. And then there’s a whole analytics section, tracking Follower Growth, a Word Cloud, a Relationship Graph, Posting Patterns, and Sentiment. Sentiment is by far the most interesting, as it breaks tweets down into either “positive” or “negative” (with some falling in-between) and then displays a graph of how well tweets of each type performs.

“’Trump is a very funny guy, haha.’ Is that a negative sentiment or a positive one?,” says Reddy. To tackle sentiment, Post Intelligence has their own API to try and infer context. It’s a task that’s hard for AI and for people, too. “That’s something that social media struggles with, when I’m being sarcastic, people think I’m being literal. If you’re being tongue-in-cheek, people take it literally.”

In my brief trial, it wasn’t sentiment that tripped me up, but just the lack of interaction with followers. A joke made in a moment loses potency the next day, and “I’m sorry, it was funny, but I was testing a tool for work” isn’t the greatest excuse for answering a question a day late.

Still, I think there’s value to a tool like PI, especially for people who aren’t glued to the internet for over eight hours every day. The freedom to plan a day’s tweets in five minutes, with automatically supplied topical content, meant I could focus my attention elsewhere, confident that my online presence was intact.

“Twitter is very addicting, and it is very important, even as a company it may be only worth a few billion dollars,” says Reddy, “but it’s really important to the culture of humanity, in some way I know that’s a strong way to say, it’s proven itself as recently as November 9th, it can change the world. I think more people want to do well on it but don’t, because it’s just so difficult to do well on it.”

Viewed as the only way to experience Twitter, Post Intelligence is a little underwhelming, but as a tool to get into Twitter, without needing to spend hours a day following the news looking for good enough jokes and news to share, Post Intelligence makes a pretty good set of training wheels.

How Ai Can Help In Getting Higher Returns On Investments

Putting investment into startups is a famously risky undertaking. Venture sponsored startups bomb 75% of the time, which frequently gives speculators motivation to delay when thinking about a venture into another business. Frequently, business entrepreneurs have little to go without their senses and constrained research. Luckily, artificial intelligence (AI) can make the investing procedure more sensible and successful for early-stage financial investors and give business visionaries insights when building another venture. Today, even small corporates produce a constant stream of data, from regular price variances in the stock to corporate declarations and that’s just the beginning. At the point when the data streams in, it could be extremely hard to select what is significant. How would you approach staying invested as a long-term investor? With time, a few financial specialists figure out how to work out vital data. At that point, they build up their very own pool of reliable sources which match their investment portfolio. Artificial intelligence can enable investors to decide how early-stage startups will perform and can in all respects rapidly make a summation of a startup’s likelihood for progress by evaluating its revenue growth, market size, industry experience, among different variables. It can analyze information to figure out what statistics will eventually bring about progress. This implies it can foresee investment-worthy startups before they even start raising money. Numerous financial investors are as of now utilizing AI to help settle on significant investment decisions. Through a mix of algorithms, data mining, and language processing, AI can build up relationships and patterns to make proposals based on investor’s inclinations. Since AI is continually accepting new data, it develops as it evaluates new information and becomes progressively precise and far-reaching. Motherbrain, an ML framework that EQT Ventures developed to recognize upcoming startups, applies its algorithm to historical data so as to distinguish promising investment applicants. The framework utilizes information, for example, financial data, web ranking, application positioning and social media activity to screen and analyze a lot of companies, something that would be difficult to do physically. Something that is intriguing is that if Motherbrain’s innovation had been accessible previously, the framework would have recognized Airbnb, Snapchat, and Stripe as worthwhile investment opportunities when the companies had just only got seed and angel funding. Knowledge and resources previously accessible just to significant firms would now be able to be accessed by small scale investors including angel investors. One of the real deterrents for venture capitalists and angel investors is finding fascinating investment targets before any other person. It is regularly an overwhelming and travel-escalated challenge. However, ML and predictive analytics are beginning to change that procedure. For other people, there are products, for example, algrow, an intelligent algorithmic investment that depends on AI which is totally free of human prejudice. It is a perfect investment product which consequently changes to an equity fund when the market is low for promising returns and to a debt fund when the market is high, in this way securing your assets. Indeed, even financial specialists who are consistently up-to-date with regards to market developments could get in a tough situation if there was an occurrence of inaccurate data or when vulnerability hits the market. These errors could be as noxious bits of gossip, financial frauds or even innocent slip-ups with respect to partnerships. Since the financial markets are acquainted with the persistent stream of data, vulnerability or an interference in the flow could prove to be more terrible than the awful news. So, what is confining the adoption of AI inside traditional firms following the achievement of hedge funds? Most prominent issues come down to a huge financial and human capital investment. Presumably, the most widely recognized deterrent is the absence of an accessible talent pool. As another field, there is a constrained ability pool with expertise and experience in the field. Same goes for the data scientists and AI specialists who are commonly expected to make an interpretation of the insights into significant business actions and estimates. Paysa reports that there are more than 10,000 open AI positions in the United States only, and IBM further conjectures that the number of related employment postings in the US will increase by 364,000 to 2.7 million.

Building A Linux App Store: Can You Help?

Linux on the desktop has seen some significant successes over the years, from improvements with hardware detection to user adoption. Yet despite these successes, the single sticking point I find myself arguing with people over the most is the idea that existing methods of software installation are ideal.

Installing software with most distributions is pretty brain-dead simple. With command line options and a variety of GUI solutions to make the process even easier, I genuinely don’t think there’s a problem with the ease of software installation.

There is however, the issue of software discovery.

Dude, where’s my software?

For moderately experienced Linux enthusiasts, most software is a stone’s throw away. But even the more experienced desktop Linux users have been known to discover a new application from the most inconvenient sources.

Often these discoveries take place long after the user has given up locating such an application when they needed it most. Where this becomes truly problematic is when the application was available from the software repositories used with the user’s own distro all along. Yet the app went totally unheard of because the user didn’t know which category it was featured in!

This is hardly an isolated incident, mind you. I can count at least seven individuals who I know personally who have been in this situation. Is it office, business or communication related? Also, how is the performance rated? So many questions – often going unanswered.

Well, at one time there was a solution to this problem on the Linux platform. Most people within the Linux community scorned the solution at the time, due to strong opinions of the Linux distro this utility was bundled with. Regardless, the utility itself has yet to be matched.

Enter Linspire’s CNR software installation utility

Sadly thanks to the evolution of the company that created the utility, CNR of today is not nearly as compelling as it once was. Now it’s merely another application that must first be installed, then used to install software. It uses basically the same methods employed already by a number of popular Debian-based distros.

Perhaps the final nail in CNR’s evolutionary coffin is the missing software aisles that were big with the original CNR utility built into the Linspire 5.0 release. At that time, not only could a user keep track of which software is in their preferred list, they were free to share this list with others.

Sadly since the move over to the new CNR utility, I have yet to see evidence of this function.

Clearly there was something quite user friendly here. Seems to me that the idea was right at one time, now it simply needs to evolve with the times.

From CNR to a Web based App Store

A headache I used find myself frustrated with was a lack of applications designed to fit certain needs with specific levels of functionality.

Sure, more often than not there was something GTK- or QT-based out there that would give me the basics of what I was looking for. However in rare instances, I found myself needing software with a more razor-focus to handle specific tasks.

Then Adobe AIR came out for Linux. Almost immediately I found myself running a multitude of applications on my PC that were unavailable previously. It took some searching, but there are some fantastic AIR apps out there that are worth a look.

For various web site endeavors, I found myself using an app known as Market Samurai. I also run specific apps for Twitter and Facebook.

Productivity apps I fell in love with include “Klok” and Present.ly’s own AIR application. In each instance, the natively available Linux software did not hold a candle to what was offered for Adobe AIR. Not even close! Adobe AIR really opened new doors for me.

Next Page: Why not have some kind of Linux friendly App Store?

7 Things A Vpn Can Help You Hide (And The Downside)

Those who work remotely by connecting to their company’s network will most likely be familiar with VPNs. Those who use them for personal network security probably also know them well. If you don’t have any experience with a VPN, I’m sure that you’ve heard the term at some point. So, what are they, and how are they used?

Here’s the short answer: a VPN or Virtual Private Network provides a means of connecting to a private network, giving you access to resources within that network.

A virtual private network provides security via limited access. VPNs allow us onto private networks over a public internet connection, all without letting other unknown users entrance to them. If you want to know more details about VPNs, look at our section on VPN software.

A VPN provides a ton of benefits, such as access to resources on your company’s LAN. The greatest benefit, though, is the security they provide. If you work from home for a company that deals with confidential information, you most likely use a VPN to ensure your connection is secure.

Let’s take a look at what kind of things a VPN can hide from possible cybercriminals and others who might want to do harm.

Things a VPN Can Hide

1. Your IP Address

You might think that using your browser’s privacy or incognito mode can hide who you are. While it can, in some cases, your ISP can still see your IP address and provide it to others. If your ISP can still see it, there’s no doubt that hackers can get it as well. In any case, relying on your browser’s protective mode for security is not a great idea.

Some of you may not care. But for others, this lack of security might sound a little scary. Using a VPN allows you to appear as though you are using the VPN’s server and IP address. The provider often has multiple IP addresses located around the country or even the world. Many others will also be using it simultaneously. The result? Would-be intruders looking over your shoulder can’t single you out.

Hiding your IP is the first step toward true online security. It’s like an online footprint; finding it can lead to discovering other important, private information you might not want to have exposed.

2. Geographic Location

If someone can determine where you are, it could put you in danger. Since a VPN basically changes your IP address (this is also called IP spoofing), others will not be able to find your geographic location. They’ll see only the location of the server that you’re connecting to.

IP spoofing can come in handy if you wish to access sites that may be restricted or different in your geographic location. For example, Netflix provides specific programming depending on what nation you’re in.

Since a VPN has its own IP address, you can see programming available in the VPN server’s location. For example, you can potentially access UK-only Netflix content when your physical location is in the United States.