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Here’s a Quickie on ChatGPT: A Digest You Can Follow

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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:

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:

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:

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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