Hugging Face, an AI start-up, has unveiled HuggingChat, an open-sourced chatbot with 30 billion parameters. According to rumors, the most recent Hugging Face product was created to rival ChatGPT.
HuggingChat was created by the Large-scale Artificial Intelligence Open Network (LAION), a German nonprofit organization, as part of their Open Assistant initiative. The new chatbot, according to its creators, intends to be a “versatile, customizable, and efficient assistant accessible to all.”
ChatGPT‘s interface is very similar to that of HuggingChat. But it has a straightforward homepage with just the name and the brief statement, “Making the best open-source AI chat models available to everyone.” HuggingChat displays prompt history, Theme, Feedback, and About & Privacy on the left panel, same like ChatGPT does.
Through the web interface, HuggingChat is currently testable, and the Hugging Face API allows for integration with already-existing programmes and services. HuggingChat has the ability to create code, emails, and even rap. Based on OpenAssistant LLaMa 30B SFT 6, the current model was created. Additionally, the chatbot cautions users that “generated content may be inaccurate or false.”
Stability AI, the company behind the Stable Diffusion picture generator, debuted their big language model, called Stability LM, last week. The alpha version of Stable LM is an open-source model with 3 billion and 7 billion parameters. According to reports, the most recent model will be followed in the future by 15 billion, 30 billion, 65 billion, and 175 billion models.
DeepLearning.AI has collaborated with OpenAI to offer a course ChatGPT Prompt Engineering for Developers which is designed to help developers effectively utilize LLMs. This course reflects the latest understanding of best practices for using prompts for the latest LLM models.
This course teaches students how to create new, robust apps fast using a large language model (LLM). They will be able to quickly develop capabilities to innovate and produce value in ways that were previously cost-prohibitive, extremely technical, or just not possible using the OpenAI API.
This short course of 1 hour duration is taught by Isa Fulford from OpenAI and Andrew Ng from DeepLearning.AI. The course will describe how LLM APIs can be used in applications for a variety of tasks, including summarizing, inferring, transforming, and expanding.
Users will also learn two essential principles for crafting powerful prompts, how to methodically design effective prompts, and how to create a unique chatbot. Users can experiment with all of the topics in the Jupyter notebook environment to gain first-hand experience with prompt engineering.
The limited-time free version of ChatGPT Prompt Engineering for Developers is user-friendly for beginners. Only a fundamental knowledge of Python is required. It is also appropriate for experienced machine learning engineers who wish to employ LLMs to get close to the forefront of prompt engineering.
Numerous discussions have been raised by the rapid development of artificial intelligence and its impact on how we live. Bill Gates, a co-founder of Microsoft, recently discussed his views on AI and claimed that within a few years, AI will “be as good a tutor as any human ever could.”
In the next 18 months, he predicted, AI would even be able to teach kids how to read and write, according to CNBC.
As a keynote speaker at a digital learning conference in San Diego last week, he said to the audience, “At first, we’ll be most stunned by how it helps with reading, being a reading research assistant and giving you feedback on writing.”
“If you merely took the following 18 months, the AI would act as a teacher’s assistant and provide writing critique. They will then enhance our mathematical capabilities after that. The underlying issue with maths is how we integrate into the larger system and getting teacher buy-in,” he continued.
On some standardized tests, OpenAI’s ChatGPT and Google’s Bard can currently compete with human-level intelligence due to their recent rapid development. The entrepreneur claimed that while AI-powered chatbots might charge, they will still be more readily available and less expensive than conventional human coaching.
“Today’s extremely good tools would actually improve maths test scores more than we did in the previous 20 years if they were fully implemented. So, I’m not just optimistic about AI when it comes to edtech in general. Even before this most recent development, there were a number of issues that I believe we are becoming more aware of and putting into practise” said Gates.
According to a study, 89% of college presidents have admitted that plagiarizing information has become easier courtesy of computers and the internet (LENHART, 2011). This ratio shows that it is becoming challenging for students to create plagiarism-free assignments in this digital age. That is why we have created a plagiarism prevention guide for students affected by plagiarism.
Here, we’ll discuss some effective plagiarism prevention techniques and resources. But first, we’ll discuss the concept of plagiarism because one of the prerequisites for avoiding plagiarism is to understand what plagiarism exactly is. So, without any further delay, let’s begin.
A Brief Introduction to the Concept of Plagiarism
Plagiarism occurs when an individual uses another person’s work, concepts, or language as if it were their own without proper acknowledgment of the initial source. It is a form of intellectual robbery because the person who plagiarizes takes another individual’s dedicated efforts and attempts to represent it as their own.
Plagiarism can have serious repercussions, especially on the life of students. For instance, students can fail a course, lose the opportunity to have a scholarship, or even get expelled from the institute.
Four Plagiarism Prevention Strategies
Now that you’ve understood the concept of plagiarism, it’s time to discuss the strategies for how to prevent plagiarism in research and other educational fields. That’s because after grasping the concept of plagiarism, understanding these techniques will be easier for you.
Do Proper Research
When it comes to preventing plagiarism, one of the most straightforward and effective tips is creating original content. But creating original content is dependent on conducting proper research. Therefore, the first plagiarism prevention strategy is to conduct extensive research on your topic. That way, you’ll be less likely to involuntarily copy a source and use the same words as them.
The results of the research phase are directly proportional to time availability. So, the more time you’ll have, the better research you’ll be able to conduct on your topic. That is why we recommend starting working on your topic early.
When you start working early, you won’t have the pressure of running out of time, which means you can carry out the research phase with proper planning. So, research your topic on the following reputable sources:
Academic journals.
Books.
Google Scholar.
High authoritative websites.
The authority of a website/blog in a particular niche is highlighted in the above picture
Disclaimer: The quality of sources varies. Therefore, please don’t rely on sources such as Wikipedia and personal blogs because they are often unreliable.
Paraphrase and Summarize
Everybody takes inspiration from somewhere. Therefore, nothing in this world is entirely original. But there are a few legal approaches for taking inspiration from an existing idea. And two of those techniques are paraphrasing and summarizing the information. So, let’s understand the concept of each term before knowing how they can assist in avoiding plagiarism.
“a restatement of a text or passage giving the meaning in another form, as for clearness; rewording” (Dictionary.com).
Thus, according to the above definition, paraphrasing the text means restating or rewording it to clarify its meaning. But you mustn’t modify the original meaning of information during paraphrasing. Otherwise, it will destroy the essence of paraphrasing.
Here is a simple example of paraphrasing the information:
“To tell in or reduce to a summary” (Merriam-Webster).
So, the art of summarizing refers to shortening long texts into shorter and more condensed forms. But again, the key here is to maintain the main point or idea.
Here is a simple example that demonstrates the way of summarizing the text:
How Can Paraphrasing and Summarizing Prevent Plagiarism?
Both paraphrasing and summarizing are effective methods to explain an existing idea or information in your words and keep plagiarism away. But these techniques will only assist in plagiarism prevention when you implement them correctly. So, here are a few tips and tricks that will help you implement paraphrasing and summarizing effectively:
Whether you want to paraphrase or summarize the information, the first technique is understanding the source text’s gist. So, you can do that by reading the original material thoroughly.
After understanding the point of view of the original information, the next task is to write in your words. And for that, you can focus on one paragraph at a time. For instance, you can use a unique starting point while paraphrasing or summarizing a section. But it is essential to write the paraphrased or summarized form without looking at the source text.
An example of paraphrasing a passage by changing its starting point
Changing sentence structure is another go-to approach when paraphrasing or summarizing something. But there are different ways of implementing this. For instance, you can perform the active-to-passive conversion or use the reverse conditional approach. So, here are two examples of changing the sentence structures through active-to-passive voice conversion and reverse conditional sentences:
A simple example of different types of active to passive voice conversions
An example of different types of conditional sentences and their reversed forms
During changing sentence structures, you can also take assistance from a Thesaurus to replace some keywords with their appropriate synonyms or antonyms. But it’s best if you don’t use this tip as a standalone way of writing something in your words. That’s because word replacement alone is not enough to make something unique.
Paraphrasing through synonymizing
Finding synonyms of two words from a thesaurus
But whether you paraphrase the information or summarize it, it is essential to credit the original owner. Otherwise, the paraphrased or summarized information will be considered plagiarism.
Keep Track of Your Sources
One of the most common instances of plagiarism is source-based, which occurs when a candidate forgets to cite a source. So, to prevent such instances, we recommend keeping track of your sources, which is the third plagiarism prevention strategy.
Source-based plagiarism mainly occurs while working on a lengthy topic because such topics often have an extensive research phase. So, when candidates misplace a source during research and include information from that source, this leads to source-based plagiarism. But you can avoid this by jotting down the references in a separate list. Let’s elaborate on this more.
Whenever you take data or inspiration from a source, you can add that source to a list. This way, you will never miss a reference. And once you’ve completed the draft, you can add all the sources from the list to the reference or bibliography page.
Use Quotation Marks and Add Citations Where Necessary
As we’ve already discussed, everybody takes inspiration from somewhere while creating something. But sometimes, taking inspiration is not enough. You have to include the exact information from a source. And that’s where quotation marks will come in handy, which is the last plagiarism prevention strategy in this how to avoid plagiarism guide.
Quotation marks (“”) inform the readers that the information enclosed in double quotes is taken from a particular source. And to mention that specific source, you will need in-text citations, which will be further referenced in a bibliography or a reference page. So, let’s see the practical implementation of this plagiarism prevention strategy through the following example:
The first image demonstrates that the concepts of ‘paraphrasing’ and ‘summarizing’ are taken from ‘Dictionary.com’ and ‘Merriam-Webster.’ On the other hand, the second image shows the complete reference of those definitions in the APA referencing style. So, that’s how you can use this concept to prevent plagiarism.
Disclaimer: It is essential to follow the citation style mentioned in the document’s guidelines and use that style throughout the document. But suppose your assignment doesn’t specify using a particular citation style in its requirements. In that case, we recommend asking your instructor or reading your institute’s citation guidelines because it’s better to be safe than sorry.
Some Resources to Help in Plagiarism Prevention
Undoubtedly, the strategies we have discussed in this guide will prove helpful in keeping plagiarism away. But if you want to make plagiarism prevention more effortless for you, you can resort to these two resources:
Plagiarism Checker Software
Using a plagiarism checker is still one of the most overlooked techniques for avoiding plagiarism. That’s because most students think that after implementing the plagiarism prevention strategies, they can straightaway submit the document. But that’s where they are wrong.
Even after implementing different plagiarism prevention techniques, the chances of accidental plagiarism remain. Therefore, we recommend using plagiarism detection software and performing a last check on your document. But which plagiarism checker is suitable for students?
We have read several reviews regarding picking a plagiarism checker for students. And after reading those reviews and personal testing, we have found the plagiarism detectors of Grammarly and Check-Plagiarism to be quite effective. So, let’s prove the accuracy of these tools through an example.
Here, we’ll use an instance of a sample text from the internet, as we want to demonstrate the accuracy of recommended plagiarism checkers.
After running the above sample in both recommended plagiarism detectors, here are the results we’ve got in our case:
As the above images indicate, both tools have detected that the text is completely plagiarized. So, that’s how you can identify the originality status of your work before finalizing it. And if a plagiarism detector has detected copied text in your content, you can use the above-discussed techniques to make your work plagiarism-free.
Citation Generator Tool
As we’ve already discussed, properly citing references is essential to plagiarism-free work. But when so many citation styles are available, it can be difficult to remember the pattern of each style. Therefore, we recommend using a one-click citation generator tool in such a situation.
Like the tools to detect plagiarism, the internet has a plethora of options for citation generators. But according to our experience, the citation generators of QuillBot and Editpad.org are the most easy-to-use tools. So, here is how both selected citation generators have presented the results in our case:
The output of QuillBot’s citation generator
The output of Editpad.org’s citation generator
As you can see, both tools have cited the reference according to the up-to-date styles. So, that’s how you can pick any accurate and up-to-date citation generator for creating citations with one click.
Conclusion
All in all, plagiarism is a severe academic offense because it can even get students expelled from institutes. So, even though the internet has made it easier to plagiarize information, you should try your best to avoid it. And to help you on your way to avoiding plagiarism, we have prepared this guide.
This guide outlines the four most effective plagiarism prevention strategies: conducting proper research, paraphrasing and summarizing, keeping track of sources and citing sources. So, follow them to get success in creating plagiarism-free assignments. However, if you don’t know how to cite the sources correctly, you can take assistance from the above-mentioned resources to prevent plagiarism.
Apple is already a step ahead of the competition when it comes to providing digital health coaching services with programs like Fitness+ and products like the Apple Watch. Apple is now hopping on the AI bandwagon with a health counseling service.
NEW: Apple plans an AI-powered Health and Wellness digital coaching service for next year. Plus, the Health app is coming to the iPad this year alongside new features for mood and emotion tracking and vision condition management. https://t.co/V9n8pIgfCi
It is being said that the program, code-named Quartz, encourages users to exercise and maintain a healthy lifestyle. The Apple Watch is rumored to come with a built-in version of the AI-powered health coaching service.
The health coach service is supposed to have a cost in the form of a monthly subscription, similar to the Fitness+ service. It is still unknown whether this service produces AI-based results using cloud servers or on-device processing power.
Gurman claims that Apple has accelerated the development of this project by bringing in a lot of talent from the AI and Siri teams. According to the expected timeline, the service could be launched by 2024. However, if there are any barriers, the launch could be postponed by two years.
Additionally, the company is rumored to be developing additional fitness-focused features to monitor emotions and record the user’s mood.
Apple is also said to be introducing a new health app for the iPad at WWDC 2023. The new app, which is anticipated to launch with iPadOS 17, is said to be optimized for analyzing various health-related data on a large screen.
The Republican National Committee (RNC) reacted to Joe Biden’s announcement of his reelection campaign this morning by releasing an attack commercial incorporating AI-generated visuals.
In the advertisement, Biden’s reelection in 2024 is depicted through a sequence of artistic imagery. With visuals showing explosions in Taiwan following a Chinese invasion and military installations on what are likely US streets, it suggests that the reelection will result in a number of crises.
The YouTube video’s caption reads, “An AI-generated look into the country’s possible future if Joe Biden is re-elected in 2024,” and a brief disclaimer in the upper left corner of the frame states “built entirely with AI imagery.”
The tools that were utilized to make the photographs are unknown, as is the possibility that doing so would have been against any terms and conditions. The majority of the photos in the advertisement are, however, quite generic and could probably be produced without tripping any system checks.
The advertisement also poses complicated and unsettling topics. Many experts have cautioned that AI-generated deepfakes may be used to propagate false information in politics. Experts are asking whether actions need to be taken if politicians themselves are the ones spreading the false information.
Politicians might share such content online more freely if they accept deepfakes. The owner of Facebook and Instagram, Meta, outlawed AI-generated content that would mislead viewers in 2020, but the firm declined to comment on whether the regulation also applied to politicians, who are currently immune from fact-checking.
On Monday, the Russian lender Sberbank announced the release of competing technology to ChatGPT. The Russian equivalent of ChatGPT, referred to as GigaChat, is presently in an invite-only beta testing phase.
Sberbank announced that it has entered the battle for the top artificial intelligence chatbot, claiming that ChatGPT was no match for its own chatbot. The bank claims that GigaChat’s capacity for intelligent Russian communication is what distinguishes it from other chatbots and other international neural networks.
According to Reuters, Sberbank, the largest bank in Russia, has made significant investments in technology recently. This, according to the news agency, results from the desire to lessen the country’s dependency on imports.
Reducing Russia’s reliance on imports has recently taken on essential importance as Western countries implement sanctions against the country in retaliation for its invasion of Ukraine. Along with the United States, many other countries have drastically reduced their exports to Russia.
China has also released its own AI-based chatbot in addition to Russia. Chatbots like Russia’s GigaChat, developed by Baidu’s Ernie and Alibaba’s Tongyi Qianwen, can converse in the original tongue of the country.
International specialists were welcomed by Queen Mary’s Centre for Commercial Law Studies (CCLS) to discuss the legal difficulties and prospects facing the video game and interactive entertainment sectors. At the ‘More Than Just a Game’ conference last week, academic and business specialists shed light on current concerns in digital law, including AI, IP, TMs, and NFTs.
The first full day of the conference began with Dr. Gaetano Dimita of Queen Mary University setting the stage for a series of insightful talks, presentations, and panel discussions exploring various visions of and strategies for the Metaverse. These discussions covered everything from the role of IP law and contracts to regulation in forming the foundations on which the dreams of earlier generations can be successfully built.
Following that, Lord Justice Colin Birss presided over a lively discussion about various conceptions of the Metaverse and the goals we ought to have for creating and living it. Pushing the boundaries to create an accessible and inclusive Metaverse was stressed at a discussion between experts from the World IP Organisation and major internet companies on what is technically feasible against what is legally desirable.
Other panel talks covered a range of topics in the Metaverse, including innovation and exploitation, the risks of AI or user-generated material infringement, and music licensing. Interoperability was cited by IP law specialists as a fundamental feature of the Metaverse, and the legal framework on which this new platform is based was discussed by patent attorneys.
Microsoft’s general counsel shared lessons to be learned from competition/antitrust and consumer protection laws in building a human-centric digital world. FIFA’s legal counsel for digital products discussed how the Metaverse advances commercial and IP strategies. Additionally, international arbitration lawyers warned of an increase in disputes between digital platforms and right-holders or users.
An investigation from SemiAnalysis’ revealed that OpenAI spends as much as $694,444 in actual money per day to maintain the chatbot. The system is believed to have 3,617 HGX A100 servers with 28,936 GPUs, according to the company’s estimation. The cost per query is estimated to be roughly 0.36 cents.
The current costs to run the programme could be considerably higher, according to Dylan Patel, Chief Analyst at SemiAnalysis, who said that GPT-4 is probably even more expensive to run than GPT-3. Although OpenAI has already made a GPT-4 version available to paying customers, Patel based his predictions on the outdated GPT-3 model.
According to the manufacturer, the new model provides more precise information and gives stronger protection against the remarks that veered off course and were an issue with GPT-3/3.5. The system’s power-guzzling specialized chips are one of the main causes of the high expenses.
As a solution, Microsoft, one of the largest OpenAI stockholders, is rumored to be developing its own artificial intelligence (AI) processor, code-named Athena, which may completely replace the NVIDIA GPUs and significantly lower ChatGPT’s operating expenses.
ChatGPT can also create working code from scratch, sparking concerns that it might eventually overtake programmers. The code produced by the chatbot, however, could not be very secure, according to new research by computer scientists Raphael Khoury, Anderson Avila, Jacob Brunelle, and Baba Mamadou Camara.
As increasingly sophisticated chatbots can produce paragraphs of text and artificial intelligence can create paintings from user text prompts, AI may be more a part of the public consciousness than ever before. However, while these developments point to what a fast-changing field it is, there is far more to a career in AI than improving chatbots so that they can generate increasingly human-like output. If you’re currently interested in this field, you can almost certainly count on being in an industry that will keep you engaged, and you may be involved in changes that revolutionize the way we live and work. The tips below will help you get started.
Your Specialization
You’ll need to choose exactly what you want to specialize in, which will affect the degree that you pursue. There are several different types of careers in AI. You might become an engineer of some sort, including in software, robotics, or machine learning, or you might become a data scientist or algorithm developer.
Not every role in this field is strictly a technical one. An increasingly important job in the years to come may be that of AI ethicist, someone who examines the ethical issues that arise in this sector. This can be an area that combines several disciplines, including computer science, business, and philosophy, and might involve both research and involvement in policy making.
Getting Your Degree
At minimum, you’ll need a bachelor’s degree to break into this career, and you may need a master’s degree as well or even a doctorate depending on what you plan to do. However, your first step will be to get your undergraduate degree. You might study computer science, engineering, mathematics, or another related field. Cost can represent an obstacle for many students.
While graduate positions in STEM areas are often fully funded, you may need to do some legwork in order to find scholarships to pay for your undergraduate degree, but it is possible in some cases to put together enough money to cover all of those costs. Even if they only cover part of the expenses, they can substantially reduce how much you need from other funding sources, including loans. You can both search and apply for scholarships you’re eligible for online.
Internships
Artificial intelligence is such an exciting field that many others are going to be interested in entering as well, so how do you set yourself apart from the competition when it comes to job hunting? A great way to do this is by landing a data science internship, or an internship in any AI adjacent and related field while you’re in college. Not all internships are glamorous.
In fact, you may find yourself spending the summer making photocopies or doing other menial tasks, but the experience you get working in your field alongside professionals each day and the connections you make are invaluable. Unfortunately, the number of internships available is limited, and in some cases, they might not pay as much as you need to make over the summer. If this is the case, any work experience that is like your field can be helpful. You might also be able to get a work-study position at your school in your own department.
Soft Skills
If you’re looking toward a career in AI, you probably already have some great tech skills that will improve with education and experience. However, another way to make yourself stand out is by developing soft skills. These are things such as communication, problem-solving and leadership that can be helpful in any profession, but which people often fail to work on in favor of mastering harder skills. Being good at working with others and coming up with solutions will enhance your career prospects.