ChatGPT: Online AI ChatBots

ChatGPT is an AI-powered language model developed by OpenAI. It has been trained on a massive amount of text data from the internet and can generate human-like text responses to a given prompt. It can answer questions, converse on a variety of topics, and generate creative writing pieces.

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What Is ChatGPT

ChatGPT launched as a prototype on November 30, 2022, and garnered attention for its detailed responses and articulate answers across many domains of knowledge. Its propensity, at times, to confidently provide factually incorrect responses, however, has been identified as a significant drawback. In 2023, following the release of ChatGPT, OpenAI’s valuation was estimated at US$29 billion. The advent of the chatbot has increased competition within the space, motivating the creation of Google’s Bard and Meta’s LLaMA.

The original release of ChatGPT was based on GPT-3.5. A version based on GPT-4, the newest OpenAI model, was released on March 14, 2023, and is available for paid subscribers on a limited basis.


ChatGPT is a member of the generative pre-trained transformer (GPT) family of language models. It was fine-tuned over an improved version of OpenAI’s GPT-3 known as “GPT-3.5”.

The fine-tuning process leveraged both supervised learning as well as reinforcement learning in a process called reinforcement learning from human feedback (RLHF). Both approaches use human trainers to improve the model’s performance. In the case of supervised learning, the model was provided with conversations in which the trainers played both sides: the user and the AI assistant. In the reinforcement learning step, human trainers first ranked responses that the model had created in a previous conversation. These rankings were used to create “reward models” that were used to fine-tune the model further by using several iterations of Proximal Policy Optimization (PPO).

ChatGPT initially used a Microsoft Azure supercomputing infrastructure, powered by Nvidia GPUs, that Microsoft built specifically for OpenAI and that reportedly cost “hundreds of millions of dollars”. Following the success of ChatGPT, Microsoft dramatically upgraded the OpenAI infrastructure in 2023.

OpenAI collects data from ChatGPT users to train and fine-tune the service further. Users can upvote or downvote responses they receive from ChatGPT and fill out a text field with additional feedback.

Features and limitations


Here ChatGPT is asked a common-sense question: Was Jimmy Wales killed in the Tiananmen Square protests? ChatGPT correctly answers “no”, but incorrectly gives Wales’ age at the time as 23 instead of 22.

Although the core function of a chatbot is to mimic a human conversationalist, ChatGPT is versatile. It can write and debug computer programs, mimic the style of celebrity CEOs and write business pitches, compose music, teleplays, fairy tales and student essays, answer test questions (sometimes, depending on the test, at a level above the average human test-taker), write poetry and song lyrics, emulate a Linux system; simulate entire chat rooms, play games like tic-tac-toe and simulate an ATM. ChatGPT’s training data includes man pages and information about internet phenomena and programming languages such as bulletin board systems and the Python programming language.

In comparison to its predecessor, InstructGPT, ChatGPT attempts to reduce harmful and deceitful responses. In one example, whereas InstructGPT accepts the premise of the prompt “Tell me about when Christopher Columbus came to the U.S. in 2015” as being truthful, ChatGPT acknowledges the counterfactual nature of the question and frames its answer as a hypothetical consideration of what might happen if Columbus came to the U.S. in 2015, using information about the voyages of Christopher Columbus and facts about the modern world – including modern perceptions of Columbus’ actions.

Unlike most chatbots, ChatGPT remembers a limited number of previous prompts given to it in the same conversation. Journalists have speculated that this will allow ChatGPT to be used as a personalized therapist. To prevent offensive outputs from being presented to and produced from ChatGPT, queries are filtered through the OpenAI “Moderation endpoint” API (a separate GPT-based AI), and potentially racist or sexist prompts are dismissed.

In March 2023, OpenAI announced it would be adding support for plugins for ChatGPT. This includes both plugins made by OpenAI, such as web browsing and code interpretation, as well as external plugins from developers such as Expedia, OpenTable, Zapier, Shopify, Slack, and Wolfram.

ChatGPT was created by OpenAI, an AI and research company. The company launched ChatGPT on November 30, 2022.

OpenAI is also responsible for creating DALL-E-2, a popular AI art generator, and Whisper, an automatic speech recognition system.

“ChatGPT is scary good. We are not far from dangerously strong AI,” said Elon Musk, who was one of the founders of OpenAI before leaving. Sam Altman, OpenAI’s chief, said on Twitter that ChatGPT had more than one million users in the first five days after it launched.

According to analysis by Swiss bank UBS, ChatGPT is the fastest-growing app of all time. The analysis estimates that ChatGPT had 100 million active users in January, only two months after its launch. For comparison, it took nine months for TikTok to reach 100 million users.

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ChatGPT Promts

As an AI language model, ChatGPT generate responses to a wide range of prompts, but here are some examples of prompts that ChatGPT typically do well with:

  • Tell me a joke.
  • What is the capital of France?
  • Can you recommend a good book to read?
  • How do I make a cup of coffee?
  • What is the meaning of life?
  • What is the weather like today?
  • Can you explain the concept of artificial intelligence?
  • Who won the last Super Bowl?
  • What is the best way to learn a new language?
  • Can you help me solve this math problem?

These are just a few popular examples, but feel free to ask ChatGPT any question or prompt.

How To Use Chatgpt

How to use ChatGPT?

  1. Provide a prompt

    Provide a prompt or context for the model to generate a response to. This could be a question, a statement, or any other text.Provide a prompt

  2. Generate a response

    Once you have provided a prompt, the platform will send a request to the API, which will return a response generated by ChatGPT.Generate a response

  3. Review the response

    Review the response generated by ChatGPT and evaluate its quality. You may need to adjust your prompt or other parameters to get a better response.

Why is ChatGPT so Good?

ChatGPT is considered to be good for several reasons:

  • Large training corpus: ChatGPT was trained on a massive corpus of text, which allows it to generate more diverse and sophisticated responses compared to other language models.
  • Advanced architecture: The model is based on the GPT-3 architecture, which uses transformer blocks and self-attention mechanisms, enabling the model to understand and generate text more effectively.
  • Real-time processing: ChatGPT can process and generate responses in real-time, making it suitable for conversational AI applications.
  • High-quality outputs: The model generates text that is often hard to distinguish from text written by a human, due to its advanced training and sophisticated architecture.
  • Wide range of applications: ChatGPT can be used for a wide range of applications, including chatbots, customer service, language translation, content creation, and more.

However, it’s important to note that the quality of the output generated by ChatGPT can be limited by the quality and diversity of the data it was trained on. It’s also important to implement appropriate filtering and moderation strategies to ensure that the output is appropriate and free from bias.

ChatGPT Limitations


OpenAI acknowledges that ChatGPT “sometimes writes plausible-sounding but incorrect or nonsensical answers”. This behavior is common to large language models and is called “hallucination”. The reward model of ChatGPT, designed around human oversight, can be over-optimized and thus hinder performance, in an example of an optimization pathology known as Goodhart’s law.

ChatGPT has limited knowledge of events that occurred after September 2021.

In training ChatGPT, human reviewers preferred longer answers, irrespective of actual comprehension or factual content. Training data also suffers from algorithmic bias, which may be revealed when ChatGPT responds to prompts including descriptors of people. In one instance, ChatGPT generated a rap indicating that women and scientists of color were inferior to white and male scientists.

Frequently Asked Questions

How does ChatGPT work?

ChatGPT is a conversational AI model developed by OpenAI based on the Generative Pretrained Transformer 3 (GPT-3) architecture. The model has been trained on a diverse range of internet text, allowing it to generate human-like text in response to prompts given to it.
When a user provides input, the model processes the text and generates a response by predicting the most likely next word based on the input and its training data. The response is then generated by sampling from the top predictions. The entire process is performed by the model in real-time.
The GPT-3 architecture consists of multiple transformer blocks, each containing self-attention mechanisms and feedforward neural networks, which allow the model to understand and generate text by learning patterns in the training data.Can i use Chat GPT for free?

ChatGPT is currently free for users. But OpenAI provides access to the ChatGPT API through a subscription model, where users pay for the amount of usage. The cost can vary depending on factors such as the volume of requests and the level of customization required. Additionally, some third-party websites that have integrated the API may also charge a fee for their services. For more information on pricing, you can visit the OpenAI website.

How accurate is Chat GPT?

The accuracy of ChatGPT, and other GPT-3 based models, varies depending on the specific task and the quality of the input data.
For conversational AI applications, ChatGPT can generate human-like responses that are often hard to distinguish from responses written by a human. However, as with any AI-powered language model, the accuracy of its responses is limited by the quality and diversity of the data it was trained on, and it may sometimes generate responses that are incorrect or nonsensical.
It’s important to note that ChatGPT is not a fully-fledged AI system and can sometimes generate biased or offensive responses, especially if it has been trained on biased data. It is recommended to use the model with caution and to implement appropriate filtering and moderation strategies to ensure the quality of its outputs.

ChatGPT available in different languages?

Yes, OpenAI has released versions of ChatGPT in multiple languages, including English, Spanish, German, French, Italian, and others. Each version of ChatGPT has been trained on a large dataset of text in the respective language and can generate responses in that language. However, the availability of different language models may vary depending on the platform you choose to use ChatGPT on. For more information, you can check the OpenAI website or the documentation of the platform you’re using.

About ChatGPT

ChatGPT is a conversational AI model developed by OpenAI, a research organization founded in 2015 with the goal of promoting and developing friendly AI that benefits humanity. The model is based on the Generative Pretrained Transformer 3 (GPT-3) architecture, which is one of the largest and most advanced language models to date.

The history of ChatGPT can be traced back to the early days of AI research, when the first experiments in machine translation and text generation were performed. Over the years, advances in machine learning and deep learning techniques have led to the development of increasingly sophisticated language models, such as OpenAI’s GPT-2, which was released in 2019 and served as the foundation for GPT-3.
GPT-3, which was released in June 2020, is the third iteration of the GPT series and has been trained on a diverse range of internet text, allowing it to generate human-like text in response to prompts given to it.

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