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Top 10 Productive Use Cases of ChatGPT for the Year 2023

ChatGPT is an OpenAI system developed by the company called OpenAI to improve the conventional capabilities of AI systems. The ChatGPT was specifically developed for the use of digital assistants and chatbots. Compared to other chatbots ChatGPT can be able to pick what has already been said in the conversation and it corrects itself if it makes any mistake. In this article, we have explained the top ten productive use cases of ChatGPT for the year 2023. Read to know more about ChatGPt Use Cases for 2023.

It Answers Questions

Unlike any other chatbot, ChatGPT can answer questions in a classy way. And ChatGPT is capable of explaining complex issues in different ways or tonalities of speaking.

It Develops APPS

Some users on Twitter asked ChatGPT for help in creating an app, and guess what! it actually worked. The AI tool even gave an example of code that can be used for a particular scenario. And in addition to that, it also gives general tips for App development; nevertheless, it must not be adopted without any personal correction or review.

It Acts as An Alternative to Google Search

ChatGPT is not just a competitor of other chatbots but it has the potential to replace google search. This is because it has smart answers to the queries that users search for answers to. But the only drawback is that it cannot give the source references.

It Can Compose Emails

ChatGPT can compose emails. Some Twitter users asked ChatGPT to compose readymade emails which received composed emails as a result. This probably puts an end to the blank page’s era.

It Creates Recipes

Depending on the request received, ChatGPT can also show suggestions on the recipes for cooking. Unfortunately, at this point, we cannot judge to what extent these are successful. But it would be interesting to try the resulting recipes for yourself.

Writing Funny Dialogue

ChatGPT also convinces users with its artistic skills. Some users had fun with the funny dialogues that the AI chatbot generated. It also writes skits and the results are impressive and great fun to read.

Language Modeling

ChatGPT can be used to train other models, such as named entity recognition and part-of-speech tagging. This can be beneficial for businesses that require the extraction of meaning from text data.

Converts Text to Speech

ChatGPT can convert text to speech, allowing it to be used in a wide range of applications such as voice assistants, automated customer service, and more.

Text Classification

ChatGPT can be used to categorise text, such as spam or not spam, or positive or negative sentiment. Businesses that need to filter or organise large amounts of text data may find this useful. Apart from that, ChatGPT can also translate text from one language to another using. This can be useful for businesses that need to communicate in multiple languages with customers or partners.

Sentiment Analysis

ChatGPT can analyze text sentiment to determine whether it is positive, negative, or neutral. Businesses that need to monitor customer sentiment or social media mentions may find this useful. Apart from that the ChatGPT also be used to summarize lengthy texts, making them easier to understand and digest. This applies to news articles, legal documents, and other types of content.

Canva CEO Melanie Perkins enters the A.I. race in her own way

Melanie Perkins has always operated on her own timeline. She founded Canva, the $26-billion visual communications company, with a decade-long vision to challenge every element of digital publishing. So as tech companies recently started debuting new A.I. tools like OpenAI’s ChatGPT and Microsoft’s Bing Chat, she paid close attention – but was not in any rush.

Yesterday, Canva introduced its own A.I. tools, a suite of features that let the 120 million users of its design products add A.I.-generated elements to what they create. Users who are building presentations, creating social media content, or writing documents can ask Canva to take the first stab at drafting that content. For example, given a prompt like “styling proposal from interior decorator,” Canva’s A.I. will spit out a detailed interior decorating presentation. The tool, while not perfect, is supposed to give users a head start.

A look at Canva's new A.I. features. Courtesy of Canva — Magic Presentation – Canva

Perkins, whom I profiled last year, tends to keep her blinders on at Canva’s headquarters in Sydney, Australia, and avoid dwelling too much on what competitors are up to (at least publicly). But with a goal to make Canva one of the world’s top-tier tech companies—it’s already the most valuable female-founded and -led startup—she’s certainly paying attention.

“What’s been extraordinarily exciting to see is the pace of change in technology,” she told me before this product launch. “What’s really exciting is how rapidly technology is advancing. It really supercharges what we set out to do 10 years ago.”

Unlike some of its competitors, Canva avoids marketing its technology using the buzzword “A.I.” The startup instead has branded its new suite of tools with the word “magic,” a choice that fits with the platform’s effort to make its features seem user-friendly and accessible. “We believe what our customers really want is magic, versus the tech ecosystem that talks a lot about…” she says, trailing off.

As a business, Canva has set its sights on the enterprise market with the goal to become the next Microsoft or Adobe. The company is still a long way from achieving that milestone, with about $1 billion in annual revenue. But its A.I. debut builds on last fall’s launch of its visual worksuite of enterprise products that compete against tools like Google Docs and PowerPoint.

Canva’s features for brands are geared toward design-minded staffers in large organizations that follow meticulous brand guidelines. The new tools let users fix problems, like automatically replacing an old logo with a new one everywhere it appears within Canva’s ecosystem.

Perkins is known for setting a top priority every year—rework the code base, go international, launch A.I. The launch of the visual worksuite and A.I. products in a single six-month span checked two major ideas off her to-do list. She’s reluctant to say what her next priority is. “We’re going to continue to do what we’ve always been doing, which is to enable people to take their ideas and turn them into design and do that seamlessly and magically,” she says.

Privacy Alert: ChatGPT Exposes Private Conversations

OpenAI CEO expresses regret, claims error has been fixed.

Artificial Intelligence (AI) is transforming our lives and work, but recent developments have raised concerns about the privacy and security of user data when using AI-powered tools.

One of these concerns is the ChatGPT glitch that allowed some users to see the titles of other users’ conversations.

ChatGPT glitch

ChatGPT is an AI chatbot developed by OpenAI that allows users to draft messages, write songs, and code. Each conversation is stored in the user’s chat history bar.

However, users began seeing conversations they didn’t have with the chatbot in their chat history as early as Monday. Users shared these on social media sites, including Reddit and Twitter.

Company Response

OpenAI CEO Sam Altman expressed regret and confirmed that the “significant” error had been fixed. The company also briefly disabled the chatbot to address the issue. OpenAI claims that users couldn’t access the actual chats. Despite this, many users are still worried about their privacy on the platform.

Privacy Concerns

The glitch suggests that OpenAI has access to user chats, which raises questions about how the company uses this information.

The company’s privacy policy states that user data, such as prompts and responses, may be used to continue training the model.

However, that data is only used after personally identifiable information has been removed. Users fear that their private information could be released through the tool.

AI Tools and Privacy

The ChatGPT glitch comes as Google and Microsoft compete for control of the burgeoning market for AI tools. Concerns have been raised that missteps like these could be harmful or have unintended consequences.

There needs to be a greater focus on privacy and security concerns as AI becomes more prevalent in our lives. Companies must be transparent about how they collect, store, and use user data and must work quickly to address any issues.

Google Begins ChatGPT Rival “Bard” Testing to Limited Users

Google Begins ChatGPT Rival Bard Testing to Limited Users

Users can join a waitlist to gain access to Bard, which promises to help users outline and write essay drafts, plan a friend’s baby shower, and get lunch ideas based on what’s in the fridge.

A company representative told CNN it will be a separate, complementary experience to Google Search, and users can also visit Search to check its responses or sources. Google said in a blog post it plans to “thoughtfully” add large language models to search “in a deeper way” at a later time.

Google said it will start rolling out the tool in the United States and United Kingdom, and plans to expand it to more countries and languages in the future.

The news comes as Google, Microsoft, Facebook and other tech companies race to develop and deploy AI-powered tools in the wake of the recent, viral success of ChatGPT. Last week, Google announced it is also bringing AI to its productivity tools, including Gmail, Sheets and Docs. Shortly after, Microsoft announced a similar AI upgrade to its productivity tools.

Google unveiled Bard last month in a demo that was later called out for providing an inaccurate response to a question about a telescope. Shares of Google’s parent company Alphabet fell 7.7% that day, wiping $100 billion off its market value.

Like ChatGPT, which was released publicly in late November by AI research company OpenAI, Bard is built on a large language model. These models are trained on vast troves of data online in order to generate compelling responses to user prompts. The immense attention on ChatGPT reportedly prompted Google’s management to declare a “code red” situation for its search business.

But Bard’s blunder highlighted the challenge Google and other companies face with integrating the technology into their core products. Large language models can present a handful of issues, such as perpetuating biases, being factually incorrect and responding in an aggressive manner.

Google acknowledged in the blog post Tuesday that AI tools are “not without their faults.” The company said it continues to use human feedback to improve its systems and add new “guardrails, like capping the number of exchanges in a dialogue, to try to keep interactions helpful and on topic.”

Last week, OpenAI released GPT-4, the next-generation version of the technology that powers ChatGPT and Microsoft’s new Bing browser, with similar safeguards. In the first day after it was unveiled, GPT-4 stunned many users in early tests and a company demo with its ability to draft lawsuits, pass standardized exams and build a working website from a hand-drawn sketch.

10 Use Cases Of ChatGPT In Banking Sector

Here we are bringing the top 10 use cases of ChatGPT in the banking sector.

Client Assistance

ChatGPT facilitates the banking sector by providing support to their client care. It responds quickly and effectively to customer inquiries, complaints, and requests for information. In addition, the Banking sector feels blessed after having the capabilities of chatGPT.

Detection Of Fraud

ChatGPT is very helpful in detecting any kind of fraud. It analyzed a large amount of transaction data and identify suspicious patterns.

Hence, ChatGPT plays a vital role in assisting banks in safeguarding the financial assets of their customers and minimizing fraud losses. Technical departments at banks might set up alarms, therefore, security experts will be aware of dubious actions.

Credit Banking

The collection, evaluation, of data and the evaluation of risks, and the processing of loans are one of the most complex processes of bank operations.

However, Banks can easily cut down the efforts by using chatGPT’s Natural Language Processing (NLP) model. However, banks can also utilize their Machine Learning capabilities to make the loan origination process easier and quicker.

ChatGPT provides real-time guidance and assistance to customers who are willing to apply for loans.

Therefore, Banks can take advantage of chatGPT to gather information about their customers, evaluate their creditworthiness, and offer real-time feedback on loan applications.

Banks can utilize the application in many ways to lessen the likelihood of default and by analyzing huge data.

Financial Management

ChatGPT can assist banks in providing personalized wealth management services to their customers. ChatGPT helps in analyzing customer data and providing customized investment recommendations. The best part is, it takes the decision on an individual basis.

Compliance

The banking sector heavily relies on consistency, and failing to do so can result in severe financial penalties and reputational damage.

Hence, by monitoring banking transactions and identifying potential violations of compliance, chatGPT can help banks in adhering the requirements of the regulatory bodies. The new innovation chatGPT can help banks in protecting their reputation and avoid costly penalties and fines.

AML And KYC

Banks need to know your customer (KYC) and Anti Money Laundering (AML) process to cut down the risks of financial dangers and stay in compliance with the law.

Therefore, by evaluating a large amount of customer personal information and transaction history, chatGPT can help banks in automating these processes.

Moreover, it can easily identify suspicious transactions, and verify the identity of customers.

Planning Your Finances

Many clients depend on banks to give them leverage in monetary arranging administrations and this can be easily done by chatGPT. The new advanced technology helps in providing a proper financial plan for their future. This includes budgeting, retirement planning, and budgeting.

Onboarding New Customers

ChatGPT help banks to develop strong relationship with their customers. Building strong relationships is time-consuming and needs powerful strategies. By using chatGPT, banks can make the process smooth and easier.

Opening New Records

It can help banks accurately check customer data and identify problems that need to be done by verifying customer identities.

However, chatGPT can help banks identify and manage potential risks by analyzing massive amounts of data and locating potential risk factors.

In addition, banks can use chatGPT to monitor transactions, flag questionable ones, and identify potential fraud.

Additionally, by examining news and market data, the model can also assess potential economic risks that might have an impact on the bank’s operations.

By utilizing chatGPT’s machine learning capabilities, banks can gradually improve their risk management practices.

Banking Virtual Assistants

Banks can provide their customers with a 24/7 remote assistant to help them with dealing with their records, paying their bills, and competing transactions

Man Creates Remarkable 3D Game Using GPT-4

To create a basic Doom style game, the man asked users to simply ask GPT4 to create a game that resembles Doom

ChatGPT took the internet by storm upon its release last year. With the launch of GPT 4 a few days ago, AI experts are experimenting with the model and testing all the limits to which it can exceed.

While people had enough hopes for this new AI technology when it came to basic AI work, what no one expected from GPT 4 was to develop a full-fledged game. However, technology is the name for surpassing user expectations and that is exactly what has happened.

The Indian Express on Twitter spotted an AI enthusiast Jani Lopez who experimented with GPT4 and gave an in-depth breakdown to show how this latest technology could be used for game development purposes. In a twitter thread shared by the user, he demonstrated how to leverage the AI technology to produce basic video games similar to a well-known one like Doom, ways one should use the AI to generate the required codes, showed simple steps on how to increase the game’s prototype visual appeal and showed small glimpses of codes written entirely by the GPT4 itself.

Javi stated that while users can create some meaningful content, they should look at the AI realistically and keep their expectations in check before wanting the GPT version to pop out something never seen before.

In order to create a basic Doom style game, Jani said that users can simply ask GPT4 to create a game in resemblance to Doom. He further stated that while tis initial request might seem basic, users can improve the visual aesthetics and overall working of the game once they have the foundation established.

The fact that GPT4 can create something as complex as a game shows that this is only the tip of the iceberg. Users can easily expect GPT4 to bring forward even more astounding creations and take the world of technology by storm. Who knows what the next year in the tech world will bring, but what we know is that we will be here to keep you updated!

Student Builds an AI Model to Translate Sign Language into English in Real-Time

Artificial Intelligence (AI) has been used to develop various kinds of translation models to improve communication amongst users and break language barriers across regions. Companies like Google and Facebook use AI to develop advanced translation models for their services. Now, a third-year engineering student from India has created an AI model that can detect American Sign Language (ASL) and translate them into English in real-time.

Indian Student Develops AI-based ASL Detector

Priyanjali Gupta, a student at the Vellore Institute of Technology (VIT), shared a video on her LinkedIn profile, showcasing a demo of the AI-based ASL Detector in action. Although the AI model can detect and translate sign languages into English in real-time, it supports only a few words and phrases at the moment. These include Hello, Please, Thanks, I Love You, Yes, and No.

Gupta created the model by leveraging Tensorflow object detection API and using transfer learning through a pre-trained model called ssd_mobilenet. That means she was able to repurpose existing codes to fit her ASL Detector model. Moreover, it is worth mentioning that the AI model does not actually translate ASL to English. Instead, it identifies an object, in this case, the signs, and then determines how similar it is based on pre-programmed objects in its database.

In an interview with Interesting Engineering, Gupta noted that her biggest inspiration for creating such an AI model is her mother nagging her “to do something” after joining her engineering course in VIT. “She taunted me. But it made me contemplate what I could do with my knowledge and skillset. One fine day, amid conversations with Alexa, the idea of inclusive technology struck me. That triggered a set of plans,” she told the publication.

Gupta also credited YouTuber and data scientist Nicholas Renotte’s video from 2020, which details the development of an AI-based ASL Detector, in her statement.

Although Gupta’s post on LinkedIn garnered numerous positive responses and appreciation from the community, an AI-vision engineer pointed out that the transfer learning method used in her model is “trained by other experts” and it is the “easiest thing to do in AI.” Gupta acknowledged the statement and wrote that building “a deep learning model solely for sign detection is a really hard problem but not impossible.”

“Currently I’m just an amateur student but I am learning and I believe sooner or later our open-source community, which is much more experienced and learned than me, will find a solution and maybe we can have deep learning models solely for sign languages,” she further added.

You can check out Priyanjali’s GitHub page to know more about the AI model and access the relevant resources of the project. Also, let us know your thoughts about Gupta’s ASL Detector in the comments below.