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What is ChatGPT And How Can You Use It?

ChatGPT is a long-form question-answering AI from OpenAI that conversely responds to complicated inquiries.
It’s a ground-breaking technology since it’s been taught to understand what people mean when they ask questions.
Many users are in awe of its capacity to deliver responses of human-quality, which gives rise to the idea that it might soon have the ability to revolutionize how people interact with computers and alter how information is retrieved.

What is ChatGPT?

Based on GPT-3.5, OpenAI created the big language model chatbot known as ChatGPT. It is remarkably capable of engaging in conversational conversations and responding in a way that occasionally seems surprisingly human.

The task of foretelling the following word in a string of words is carried out by large language models.

ChatGPT learns how to obey instructions and provide responses that are acceptable to humans using Reinforcement Learning with Human Feedback (RLHF), an additional training layer.

Who Built ChatGPT?

The artificial intelligence company OpenAI, headquartered in San Francisco, developed ChatGPT. The for-profit OpenAI LP is a subsidiary of OpenAI Inc., a nonprofit organization. DALLE, a deep-learning model developed by OpenAI that has gained widespread acclaim, Sam Altman, who was formerly 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.

creates graphics from text prompts, often known as directions.

Large Language Models

A ChatGPT is a large language model (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.

Stanford University claims:

“GPT-3 was trained on 570 terabytes of text and has 175 billion parameters. For comparison, GPT-2, its forerunner, had 1.5 billion parameters, which was nearly 100 times smaller.

The behavior of the model is substantially altered by the increase in scale; the GPT-3 is now capable of carrying out tasks for which it was not specifically taught, such as translating lines from English to French, with little to no training data.

In GPT-2, this tendency was largely missing. Additionally, although failing at some tasks, GPT-3 beats models that were specifically trained to handle those problems.”

How Was ChatGPT Trained?

To assist ChatGPT 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

A March 2022 research paper titled Training Language Models to Follow Instructions with Human Feedback explains why this is a breakthrough approach:

“By teaching them to follow the instructions of a specific group of humans, we hope to boost the beneficial effects of big language models.

Language models by default focus on improving the next word prediction objective, which is merely a stand-in for what we really want these models to perform.

Our findings suggest that our methods have the potential to improve the value, accuracy, and safety of language models.

Growing language models does not automatically improve their ability to interpret user intent.

Large language models, for instance, may produce results that are harmful to the user or untruthful.

In other words, these models do not take their users into account.”

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).

The ratings led the researchers to the following findings:

“Labelers vastly favor InstructGPT outputs over GPT-3 outputs.

InstructGPT models outperform GPT-3 in terms of veracity.

InstructGPT exhibits somewhat lower toxicity than GPT-3, but no bias”

The research paper concludes that the results for InstructGPT were positive. Still, it also noted that there was room for improvement.

“Overall, our findings show that human preferences can considerably improve the behavior of big language models, albeit additional effort needs to be done to increase their safety and dependability..”

ChatGPT was specially taught to comprehend the human intent behind a query and offer useful, honest, and harmless answers. This distinguishes ChatGPT from a straightforward chatbot.

As a result of that instruction, ChatGPT may challenge particular questions and ignore any unclear portions of the inquiry.

Another study pertaining to ChatGPT demonstrates how they programmed the AI to anticipate human preferences.

The researchers discovered that the metrics used to evaluate the outputs of natural language processing AI produced machines that performed well on the metrics but didn’t match what people would have anticipated.

The researchers provided the following explanation of the issue:

“Many machine learning applications optimize simple metrics which are only rough proxies for what the designer intends. This can lead to problems, such as YouTube recommendations promoting click-bait.”

The idea they came up with was to develop an AI that could produce replies that were tailored to human preferences.

In order to achieve this, they trained the AI utilizing datasets of human comparisons of various replies in order to improve the machine’s prediction of what humans would deem to be satisfactory answers.

The study reveals that training involved summarizing Reddit postings and testing it with news summaries

The research paper from February 2022 is called Learning to Summarize from Human Feedback.

The researchers write:

“In this work, we demonstrate that training a model to optimize for human preferences can dramatically increase summary quality.

We gather a sizable, high-quality dataset of human comparisons of various summaries, train a model to forecast the human-preferred summary, and then employ reinforcement learning to fine-tune a summarizing policy using that model as a reward function..”

What are the Limitations of ChatGPT?

Limitations on Toxic Response

ChatGPT is specifically programmed not to provide toxic or harmful responses. So it will avoid answering those kinds of questions.

Quality of Answers Depends on Quality of Directions

An important limitation of ChatGPT is that the quality of the output depends on the quality of the input. In other words, expert directions (prompts) generate better answers.

Answers Are Not Always Correct

Another drawback is that because it is programmed to give responses that feel natural to people, the answers may lead people to believe that the output is accurate.

The fact that ChatGPT can give inaccurate responses, including some that are wildly false, has been noticed by many users.

It’s possible that responses that seem reasonable to people have an unintended effect, as was observed by the moderators at the coding Q&A website Stack Overflow.

Stack Overflow was overwhelmed with user responses coming from ChatGPT that seemed to be the right answers, but there were actually a lot of them.

The admins banned any users who submit responses produced by ChatGPT after the volunteer moderator crew was overloaded by the thousands of answers.

As a result of the deluge of ChatGPT responses, a post titled

Temporary policy: ChatGPT is banned:

“This temporary rule is designed to reduce the volume of answers and other content produced via ChatGPT.The main issue is that, despite ChatGPT’s replies frequently being inaccurate, they frequently “look like” they “might” be correct.”

The developers of ChatGPT, OpenAI, are aware of this and cautioned against it in their announcement of the new technology. Stack Overflow moderators have encountered incorrect ChatGPT replies that appear correct in the past.

OpenAI Explains Limitations of ChatGPT

The OpenAI announcement offered this caveat:

“Sometimes ChatGPT provides answers that are correct but are actually erroneous or illogical.

Fixing this problem is difficult because: (1) There is currently no source of truth during RL training; (2) Making the model more cautious makes it decline questions that it can answer correctly; and (3) Supervised training deceives the model because the best response depends on the model’s knowledge rather than the demonstrator’s knowledges.”

Is ChatGPT Free To Use?

Currently, during the “research preview” period, ChatGPT usage is free.

Users can currently test out the chatbot and give feedback on the responses so that the AI can improve at responding to inquiries and learn from its errors.The official announcement states that OpenAI is eager to receive feedback about the mistakes:

“Although we’ve worked to make the model reject unsuitable requests, there are still moments when it’ll take negative instructions or behave inimically.

Although we anticipate some false negatives and positives for the time being, we are leveraging the Moderation API to alert users or prohibit specific categories of hazardous content.

In order to help us continue to work on improving this system, we’re happy to gather user feedback..”

To entice the public to score the comments, there is now a competition with a cash reward of $500 in ChatGPT credits..

“Users are urged to share their opinions on problematic model outputs and false positives or negatives from the external content filter, which is also a part of the interface, using the user interface (UI).

Feedback that helps us identify and comprehend unique dangers as well as potential mitigations is especially valuable to us because it can help us identify detrimental outputs that might be produced in non-adversarial, real-world circumstances.

For a chance to win up to $500 in API credits, you can decide to enter the ChatGPT Feedback Contest3.

Entries can be submitted using the ChatGPT interface’s feedback form.”

The currently ongoing contest ends at 11:59 p.m. PST on December 31, 2022.

Will Language Models Replace Google Search?

LaMDA is an AI chatbot that Google has already developed. An engineer at Google asserted that LaMDA was sentient since the performance of the chatbot was so similar to a human discussion.

Is it unlikely that a business like OpenAI, Google, or Microsoft will eventually replace conventional search with an AI chatbot given how these massive language models can respond to so many queries?

On Twitter, some people have already predicted that ChatGPT will overtake Google.

For those who make their job as search marketing experts, the possibility that a question-and-answer chatbot would eventually replace Google is terrifying.

It has spurred debates in online communities for search marketing, such as the well-known Facebook SEOSignals Lab, where someone questioned whether or not search queries may shift away from search engines and toward chatbots.

After using ChatGPT, I have to admit that the worry over chatbots taking the role of search engines is not unwarranted.

Although there is a long way to go in terms of technology, it is conceivable to picture a search future that combines chatbots with hybrid search.

But it appears that ChatGPT as it is now implemented will eventually need users to spend credits in order to utilize it.

How Can ChatGPT Be Used?

ChatGPT is capable of crafting text in the form of short stories, poems, songs, and even code.

ChatGPT is transformed from a source of information to a tool that may be used to complete a task thanks to its proficiency in following instructions.

It can therefore be used to write an essay on just about any subject.

ChatGPT can be used as a tool to create article or even book-length outlines.

Almost any assignment that can be answered with written word will have a response from it.


As was already mentioned, it is planned for the public to eventually pay to utilize ChatGPT.

Within the first five days of ChatGPT’s public launch, more than a million users had registered to utilize it.




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