What is ChatGPT  And How Can You Use It?

OpenAI debuted ChatGPT, a long-form question-answering AI that answers complex questions in a conversational manner.
It’s a game-changing technology because it’s been trained to understand what humans mean when they ask questions.
Many users are impressed by its ability to provide human-quality responses, raising the possibility that it could one day disrupt how humans interact with computers and change how information is retrieved.

What is ChatGPT?

ChatGPT is an OpenAI-developed large language model chatbot based on GPT-3.5. It has an amazing ability to interact in the form of a conversational dialogue and provide responses that can appear surprisingly human.
The task of foretelling the following word in a string of words is carried out by large language models.

Foundation of ChatGPT

The artificial intelligence company OpenAI, headquartered in San Francisco, developed ChatGPT. The for-profit OpenAI LP is a subsidiary of OpenAI Inc., a non-profit organization.
The well-known DALLE deep learning model from OpenAI, which creates images from text prompts, is well-known.
Sam Altman, who formerly served as the president of Y Combinator, is the CEO.
Microsoft has invested $1 billion as a partner and investor. They worked together to create the Azure AI Platform.
A sizable language model is ChatGPT (LLM). Massive volumes of data are used to train large language models (LLMs) to precisely anticipate what word will appear next in a phrase.
It was shown that the language models could perform more tasks when there was more data available.
Similar to autocomplete, but on a mind-boggling size, LLMs predict the next word in a string of words in a sentence as well as the following sentences.
They are able to produce paragraphs and full pages of text thanks to this skill.
But LLMs have a drawback in that they frequently fail to comprehend precisely what a person wants.
And with the aforementioned Reinforcement Learning with Human Feedback (RLHF) training, ChatGPT advances the state of the art in this area.

How Was ChatGPT Trained?

To assist ChatGPT to learn dialogue and develop a human manner of response, GPT-3.5 was trained on enormous volumes of code-related data and knowledge from the internet, including sources like Reddit debates.
In order to teach the AI what people anticipate when they ask a question, Reinforcement Learning with Human Feedback was also used to train ChatGPT. This method of training the LLM is novel since it goes beyond only teaching it to anticipate the next word.
To grade the outputs of the two systems, GPT-3 and the new InstructGPT (a “sibling model” of ChatGPT), the developers who designed ChatGPT recruited contractors (referred to as labelers).

Features and limitations

ChatGPT is flexible even though its primary job is to resemble human conversationalists. For instance, it can write and debug computer programmes, compose music, teleplays, fairy tales, and student essays, write poetry and song lyrics, emulate a Linux system, simulate an entire chat room, play games like tic-tac-toe, and simulate an ATM. It can also answer test questions (sometimes, depending on the test, at a level above the average human test-taker). The training materials for ChatGPT include man pages, facts on web trends, and details on popular programming languages like Python and bulletin board systems.
Compared to its predecessor, InstructGPT, ChatGPT makes an effort to lessen negative and dishonest comments. In one instance, ChatGPT acknowledges the counterfactual nature of the question and frames its response as a hypothetical consideration of what might occur if Christopher Columbus came to the U.S. in 2015. It does this by using information about Columbus’ voyages and facts about the modern world, including modern perceptions of Columbus’ actions. In contrast, InstructGPT accepts the premise of the prompt “Tell me about when Christopher Columbus came to the US in 2015” as being true.
Journalists have proposed that ChatGPT may be used as a tailored therapist because, unlike most chatbots, it can recall past instructions from the same session. Potentially racist or sexist prompts are removed, and questions are vetted by OpenAI’s corporate moderation API to prevent the presentation of inappropriate outputs to and production from ChatGPT.
ChatGPT has a number of drawbacks. ChatGPT occasionally “writes plausible-sounding but wrong or illogical answers,” according to OpenAI. Large language models frequently exhibit this tendency, which is known as hallucination. The human oversight-centered reward structure of ChatGPT can be over-optimized, which would reduce performance and violate Goodhart’s law. ChatGPT is only partially aware of activities that took place after 2021. As of December 2022, ChatGPT will not be able to “express political beliefs or engage in political agitation,” according to the BBC. However, research indicates that when ChatGPT is asked to take a position on political assertions from two well-known voting advice programmes, it does so in a pro-environment, left-libertarian manner.
Regardless of actual comprehension or factual substance, human reviewers favoured longer answers while training ChatGPT. Algorithmic bias affects training data as well, as may be seen in ChatGPT’s responses to prompts including human-related descriptions. In one instance, ChatGPT produced a rap suggesting that male and white scientists are superior to those who are white.