Hey ChatGPT, who are you? I am a conversational artificial intelligence platform. I allow you to get all the answers in a simple chat! It is fun to have you with me, let’s start 😉

ChatGPT by OpenAI says, “I was trained on a vast amount of text from the internet using a deep learning algorithm, which allows me to understand natural language and generate human-like responses to a wide range of questions and prompts. I am here to assist you with any questions or concerns you may have, so please feel free to ask me anything!”

ChatGPT is based on neural network based transformer architecture, which is used for language modeling and text generation. Specifically, ChatGPT is built using a variant of the transformer architecture called the Generative Pre-trained Transformer (GPT), which was introduced by OpenAI in 2018.

What intertwines ChatGPT?

The GPT architecture is a deep learning model that uses self-attention mechanisms to process sequential input data such as text. It is a type of unsupervised learning model, meaning that it is trained on large amounts of data without being explicitly told what the correct output should be. In the case of ChatGPT, the model was pre-trained on a massive amount of text data, allowing it to learn patterns and relationships in language that it can use to generate coherent responses to user input.

The GPT architecture has since been updated and improved upon in subsequent versions, with the most recent being GPT-3, which has significantly larger and more complex neural network structures. It is able to achieve state-of-the-art performance over a varied range of natural language processing tasks.

Venture capital firms have invested more than 1.7 billion dollars in such AI bots since 2020, in just two years. According to an estimate, in next 2 years there will be a 30% increase in AI generated outbound messages from the companies. By 2023, 90% of a major blockbuster films will be generated by Artificial Intelligent Bots.

Where did it come from?

OpenAI’s mission is to create safe and beneficial artificial intelligence that can help solve some of the world’s most pressing problems. It was created by a team of researchers and engineers at OpenAI using a large amount of text data from the internet and a deep learning algorithm called GPT (Generative Pre-trained Transformer). It was launched on November 30, 2022, by San Francisco – based OpenAI, which is the creator of DALL, E 2, and Whisper AI. This service was initially launched as free to the public, with plans to monetize the service later. It already had over 1 million registered users by December 4, 2022.

How does ChatGPT work?

It is available on the Web. No download is required. Type your query in the text box and prompt the program. Write anything – a word, a sentence, a question, a phrase, and you will get the answer in seconds. Chat GPT can answer any type of questions, admit mistakes, reject inappropriate queries, and challenge incorrect premises.

Does ChatGPT have versions?

Yes, ChatGPT has different versions that vary in size and complexity. The original ChatGPT was based on the GPT architecture, specifically, GPT-1, which was released by OpenAI in 2018. This model had 117 million parameters and was trained on a large corpus of text data to generate coherent and diverse responses to user input.

Since then, OpenAI has released several updated versions of the GPT architecture, with each subsequent version increasing in size and complexity. These versions include GPT-2, GPT-3, and more recently, GPT-Neo, which was developed by EleutherAI and is based on an open-source implementation of the GPT architecture.

The larger and more complex models in the GPT family, such as GPT-3 and GPT-Neo, have been shown to achieve state-of-the-art performance on a wide range of natural language processing tasks, including language modeling, text generation, and question answering, among others. These models have been made available to developers and researchers through various APIs and tools, enabling them to incorporate the power of the GPT architecture into their own applications and projects.

Is ChatGPT like other AI models?

Yes, it is similar to other AI models. It was created using deep learning algorithms and trained on large amounts of data to understand natural language and generate responses to a wide range of questions and prompts. However, each AI model can have its own strengths, weaknesses, and unique characteristics depending on how it was trained and what kind of data it was exposed to.
As a language model, ChatGPT’s primary focus is on understanding and generating human-like text. Still, there are many other types of AI models that are designed for different purposes, such as computer vision, speech recognition, and game-playing, among others. Each AI model has its own specific area of expertise, and it can be combined and used together in various ways to create more complex AI systems.

How long will you last?

I do not have a physical lifespan as an artificial intelligence language model. However, my creators at OpenAI will continue to improve and update me over time to make sure that I stay current with the latest developments in natural language processing and AI research.

That being said, it’s essential to keep in mind that technology can quickly become outdated, and there will likely come a time when newer and more advanced AI models will be developed that can outperform me. But for now, I am constantly improving and updating to provide the best possible responses to your questions and prompts.

What are some of the most popular use cases of ChatGPT?

As an AI language model, there are many popular use cases of ChatGPT. Here are a few examples:

• 1. Question answering: One of the most common use cases of ChatGPT is answering questions on a wide range of topics, including general knowledge, history, science, and more.
• 2. Writing assistance: ChatGPT can be used to assist with writing tasks, such as generating ideas for essays, reports, or articles, or providing feedback on sentence structure and grammar.
• 3. Language translation: ChatGPT can be used to translate text between different languages, making it easier for people who speak different languages to communicate and access information.
• 4. Customer service: ChatGPT can be used to provide customer support for businesses by answering frequently asked questions or providing assistance with common issues.
• 5. Creative writing: ChatGPT can be used to generate creative content, such as poetry or stories, based on specific prompts or themes.
• 6. Summarizing and condensing information: ChatGPT can be used to summarize long documents or articles, extracting the most important points and presenting them in a concise and easy-to-understand format.

ChatGPT can be used in a wide range of applications, from helping with homework or research to assisting with customer service or providing creative inspiration. Its versatility and flexibility make it a powerful tool for a variety of different tasks and use cases.

What are the challenges with ChatGPT?

Students are using it to finish their homework. Cheating has never been so easy. They can plagiarize content without being scared of being caught by the teacher in charge. Schools and colleges in France, US, and in India have banned the use of this software.

But it is not just the education that is being disrupted. It is the same story across sectors. Legal fraternity for one is worried. What if ChatGPT offers law services? It takes away your job! And what we are seeing right now is not even a final product

It has got people worried – like software engineers and those directly or indirectly related to IT. ChatGPT is learning how to code, and that can have far-reaching consequences for a lot of people. Open AI is on a hiring spree. They have been making this bot learn how to code. The whole endeavor might fail, but if it succeeds it will change our world. The software already excels in writing. It can produce content in seconds. The content is comprehensive, grammatically sound, and without silly mistakes. All you need is to write your query and prompt it to take action. It can be a keyword or a simple sentence.

What is the scope of ChatGPT in the coming times?

As an AI language model, ChatGPT’s scope in the coming times is likely to expand as the technology continues to advance and new use cases are discovered. Here are some possible ways in which its capabilities might evolve:

• 1. Improved accuracy and language understanding: As more data becomes available and new machine-learning techniques are developed, ChatGPT is likely to become more accurate and better able to understand and respond to natural language.
• 2. Greater specificity and personalization: With further training and fine-tuning, ChatGPT may be able to provide more specific and personalized responses to individual users based on their previous interactions and personal preferences. However, it may flout occasionally with either the response not being accurate or the information is not updated to date. Human discernment is still required as a final verdict.
• 3. Integration with other technologies: ChatGPT could be integrated with other AI and machine learning technologies, such as computer vision, speech recognition, or natural language generation, to provide more comprehensive solutions for a wide range of tasks and applications.
• 4. New use cases and applications: As its capabilities expand, it may be used in new and innovative ways, such as assisting with medical diagnosis, analyzing social media data, or even providing personalized recommendations for online shopping.

The scope of an AI language model like mine is constantly evolving and expanding as the technology advances and new use cases are discovered. While it’s impossible to predict exactly how my capabilities will evolve, I am confident that I will continue to provide valuable assistance and support to users in a wide range of applications and settings.

How is ChatGPT vs. (Bing and Google Search)?

ChatGPT and search engines like Google and Bing serve different purposes and have different strengths, so it’s not necessarily a matter of one being “better” than the other. Here are some of the key differences between ChatGPT and search engines:

• 1. Natural language processing: ChatGPT is specifically designed to understand and generate natural language responses to user input, while search engines like Google and Bing are focused on finding relevant web pages or information based on keywords. ChatGPT can provide more nuanced and conversational responses to user input, while search engines can be better at quickly finding specific information.
• 2. Personalization: ChatGPT can be trained on specific datasets or fine-tuned for specific tasks or domains, making it possible to personalize responses to individual users or contexts. Search engines like Google or Bing typically provide the same results for everyone, although they may use personalized data such as search history to influence the results.
• 3. Interactivity: ChatGPT is designed for interactive communication with users, allowing users to ask follow-up questions or clarify their input. Search engines typically provide static results and do not offer the same level of interactivity.
• 4. Scope of information: Search engines like Google and Bing can search through a vast amount of information on the web, while ChatGPT’s responses are based on its training data and any fine-tuning it has received. This means that ChatGPT may be more limited in the scope of information it can provide.

ChatGPT is designed to provide more conversational and interactive responses to user input, while search engines are focused on quickly finding relevant information based on keywords. Depending on the user’s needs and the type of information they are looking for, one may be more useful than the other.

What are the core learnings from this write-up?

ChatGPT is a large – huge – vast language model that is capable of generating text in a wide range of styles, languages, and for different purposes. It works with precision, detail, and coherence. It works on a supervised fine-tuning (SFT) model. What makes it stand out is the enablement of Reinforcement Learning from Human Feedback (RLHF) which uses human feedback in the training loop to minimize harmful untruthful and/or biased results.

At the verge of this development in artificial intelligence (AI) in real-life applications, we see faster adoption curves with this disruptive technology. Ignoring the boom, we know that Chat GPT created a wave in right since its inception two months back (updated February 2023. We are at a steep cliff where people like talking to chatbots and asking all sorts of questions. It is Microsoft Bing vs. Google Search vs. ChatGPT for now. Instead of a traditional search engine, these AI-enabled chatbots act as a co-pilot for your web alongside search. But these may be wrong sometimes. It’s just an algorithmic search and might stumble with not-so-frequent queries.

Because fundamentally the AI does not know if it is telling truth or not. It does not understand the mode. It takes input and then creates output based on related words that most likely goes together. It generates a new sentence every time and does not know how to frame a sentence necessarily. It is not sentient. The more we use it the more we come across some patterns, habits, and shortcomings of ChatGPT.

Here’s A Piece of My Mind: What to expect and what not to expect from ChatGPT?

As an AI language model, you can expect ChatGPT to be able to understand and generate responses to a wide range of questions and prompts in natural language. It can provide information on a variety of topics, ranging from general knowledge to more specific subjects like science, technology, history, and more.

ChatGPT can also help with tasks like writing, summarizing, translating, and even generating creative content like stories or poems. However, it’s important to keep in mind that while it can be a helpful resource, it is not perfect and there may be times when its responses are incomplete or inaccurate.

The answers that it gives are really convincing to anyone who isn’t already aware of that subject. When you ask something from a search engine like Bing, or a chatbot like ChatGPT, add a layer on top of it – think if you are completely out of credits? Are you completely unaware of this topic? Can you blindly trust what it says, without any further research? You cannot simply ask ChatGPT to generate an essay and call it your own. You need to add your intuition, your gut instinct, your inner knowing, and your inspirations, and back it up with further research across other search engines, to arrive at a conclusion.

You can expect it to be a useful tool for answering questions, generating ideas, and providing information, but it’s important to remember that it is just one source of information and should be used in conjunction with other sources to ensure accuracy and completeness.

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It’s been just a few months since we have Apple’s ARKit among us and it is already creating stir in the market. The inventive attempt by the tech-whopper brings along a lot of new possibilities to allow ground-breaking ways to put up with Augmented Reality, as this AR platform is all equipped with latest feature resources and functional properties to embed and serve your iOS AR project with. And with this, iOS app developers have already started building advanced Augmented Reality solutions.

On the other hand, we have a parallel power emerging in the AR space in the form of ARCore. This is again a striving attempt by the tech-giant Google, which proves to be a close competitor of ARKit. With its plans to iterate the learned competencies into new application ideas and build impactful AR solutions, it is all set to serve existing and future Android phones with the new technology in the upcoming tech spells.

ARKit Features

ARKit comes with three major feature offerings and further covers various sub features and resources. These are motion tracking, light emission, and environmental understanding. These three together offer a comprehensive AR potential that Augmented Reality developers can seek and employ to build significant apps on the new technology. These features combinedly help iOS app developers to allow users to perceive and pertain with enhanced visual objects with great clarity.

Motion Tracking: ARKit can unvaryingly and accurately track device’s positioning in reference with the real objects in the live frame that is captured by the camera using Visual Inertial Odometer (VIO). This allows the devices to capture motion sensor data, recording the real-time position of the device.

Environmental Understanding: With the help of ARKit, Apple devices can scan and analyze the scenes that come in their view through the camera and determine different shapes (like horizontal distances) to render useful results.

Light Estimation: This allows iPhone’s and iPad’s cameras to sense and gauge the amount of light that is present in an area. This helps iOS app developers to enable AR apps to detect and regulate a certain amount of light to be flashed consistently and establish continuity. 

ARCore Features

Though ARCore is not the Google’s first attempt at AR solutions as it had launched Tango earlier. But, ARCore comes out as a baked-in platform for Android mobile devices and it is all equipped with latest potentials in reference with sensory perception, measuring values and command interpretation. Which makes ARCore a smarter and more competent platform to serve modern Augmented Reality development needs as per Android app developers. Here’s how it does it with different functional aspect of an AR framework.

Motion Tracking: ARCore tracks and interprets IMU (Inertial Measurement Unit) data unlike ARKit that goes with VIO. Quite differently it also measures the shape, built and features of the surrounding objects to detect and identify the right position and orientation of the Android device in use.

Environmental Understanding: Just like ARKit, ARCore also reads and detects it horizontally. Everything including the settings and the functional process works similarly to help devices understand the environment.

Light Estimation: ARCore is again quite similar in terms of taking light estimations. It similarly detects the light in the surrounding ambiance and accordingly adjusts focal positioning and illumination impact, distributing balance of the light in the most orderly and appropriate manner to derive best results out of it.

Comparing the two

In the beginning, we can expect both to serve the top existing Operating Systems in their own spaces. For ARKit it would be iOS11 devices and ARCore should be serving Android 7.0 (Nougat) or higher versions. If you try to measure the popularity of the two, it should be in the favor of the Google’s ARCore as Android users have surpassed iOS users over time. So, if you assume that everything else remains the same, more numbers simply translate into more popularity. However, the better recognition and reachability impelled by Apple in getting into the mainstreams keeps ARKit ahead of ARCore. Apple’s ARKit’s launch was quite affirmative and persuasive as it gone with the launch heard strategy. Quite opposite to that ARCore was propagated through a noticeably subminimal approach pushing it to the audiences through Google’s VR YouTube Page. Another thing that puts ARKit over ARCore is the UX factor which is always perceived to be better because of the Apple’s lineage of communicating and interfacing with its users and the way it drives its brand recognition and consumer value.

Must Read: Top 5 Development Tools for Augmented Reality

Conclusion

So, in all if we look from a larger angle, ARCore is bigger in terms of market size and seller’s appeal. Also, it has tasted good response in the segment with Tango and has been there in the market through its VR offerings in the form of ventures like Daydream and Cardboard. So, this goodwill is going to help Android ARCore to find an edge but not without putting up with the quality mark that Apple is known to offer. On that note, Apple’s ARKit really wins over in impressing the userbase with better UX capabilities and higher material references. Comparing them both head to head, you can find both of them having an upper side in some part of the game but of course things should move more into favor of the one that continues to offer better value and utility in the coming times.

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