What is ChatGPT And How Can You Use It?

ChatGPT, introduced by OpenAI, is a long-form question-answering system that answers complex questions conversationally. A revolutionary technology trained to learn what a person means while asking a question. Many users are impressed by its capacity to produce human-quality responses, raising the possibility that it could one day disrupt how humans interact with computers and transform how information is retrieved. Continue reading to understand more about ChatGPT.

What is ChatGPT?

Large language models are used to predict the next word in a series of words. A large language model chatbot based on GPT-3.5 is known as ChatGTP. It is developed by OpenAI and has an amazing capacity to interact in a conversational dialogue and offer responses that can appear quite human. Reinforcement Learning with Human Feedback (RLHF), an extra training layer, teaches ChatGPT how to follow commands and give responses that are palatable to people.

Who Built ChatGPT?

The artificial intelligence company OpenAI, headquartered in San Francisco, developed ChatGPT. The well-known DALLE deep learning model from OpenAI, which creates images from text prompts, is famous. The for-profit OpenAI LP is a subsidiary of OpenAI Inc., a nonprofit organization. Sam Altman, formerly the president of Y Combinator, is the CEO. Microsoft has invested $1 billion as a partner and investor to create the Azure AI Platform.

Large Language Models

A large language model, ChatGPT (LLM), has massive volumes of data used to train these models to anticipate what word will appear next in a phrase precisely. It was shown that the language models could perform more tasks when more data was available. According to Stanford University -

"GPT-3 was trained on 570 terabytes of text and had 175 billion parameters. For comparison, GPT-2, its forerunner, had 1.5 billion parameters, nearly 100 times smaller."
"The increase in scale substantially alters the model's behavior; 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 explicitly trained to handle those problems."

Similar to autocomplete, LLMs predict the next word in a string of words in a sentence and the following sentences. Thanks to this skill, they can produce paragraphs and total pages of text. But LLMs have a drawback: they frequently fail to comprehend precisely what a person wants. And as mentioned earlier, in Reinforcement Learning with Human Feedback (RLHF) training, ChatGPT advances state of the art in this area.

How is ChatGPT Trained?

To assist ChatGPT in learning dialogue and developing a human response, GPT-3.5 was trained on enormous volumes of code-related data and knowledge from the internet, including sources like Reddit debates. Reinforcement Learning with Human Feedback is used to teach the AI what people anticipate when they ask a question to train ChatGPT. This method of preparing the LLM is novel since it goes beyond only teaching it to predict the next word. This is a ground-breaking method, as detailed in a research article published in March 2022 titled Training Language Models to Follow Instructions with Human Feedback:

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 want these models to perform.
Our findings suggest that our methods can improve language models' value, accuracy, and safety.
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 need to take their users into account.

The ChatGPT engineers recruited labelers to grade the outputs of the two systems, GPT-3 and the new InstructGPT (a "sibling model" of ChatGPT). The researchers, based on the ratings, concluded:

Labelers strongly prefer InstructGPT outputs over GPT-3 outputs
InstructGPT models outperform GPT-3 in terms of honesty.
InstructGPT outperforms GPT-3 in terms of toxicity but not bias.

According to the research paper, the outcomes for InstructGPT were positive. However, it was also stated that there remained space for improvement. Overall, the findings show that fine-tuning large language models with human preferences enhances their performance on a variety of tasks, except much work remains to be done to increase their safety and reliability. ChatGPT is distinguished from other chatbots by its deliberate teaching to grasp the human intent behind a query and offer truthful, helpful, and harmless responses. ChatGPT may challenge specific questions and eliminate sections of the question that do not make sense as a result of such training. Another ChatGPT-related research study demonstrates how they trained the AI to predict what humans preferred. The researchers discovered that the metrics used to grade the outputs of natural language processing AI produced machines that performed well on the metrics but did not match what humans expected. As a result, their idea was to construct an AI that could output answers tuned for what humans preferred. To accomplish this, they trained the AI using datasets of human comparisons of other replies so that the machine became better at predicting what humans considered appropriate answers.

What are the limitations of Chat GPT?

Limitations on Toxic Response: ChatGPT is specifically developed not to respond in a toxic or damaging manner. As a result, it will refuse to answer such inquiries.
The quality of the directions determines the quality of the answers: One significant disadvantage of ChatGPT is that the output quality is dependent on the input quality. In other words, professional instructions (prompts) produce superior results.
Answers are not always correct: Another disadvantage is that because it has been trained to deliver responses that feel right to humans, the replies may deceive humans into believing that the output is correct. Many users observed that ChatGPT could give inaccurate replies, some of which are radically incorrect.

Is ChatGPT Free to use?

ChatGPT is presently available for free during the "research preview" period. Users may now try out the chatbot and provide their inputs on the responses so that the AI can improve at answering queries and learn from its mistakes. According to the official announcement, OpenAI is ready to gather input on the errors:

While the OpenAI has made steps to prevent the model from responding to incorrect requests, it will occasionally react to damaging instructions or exhibit biased behavior.
They're using the Moderation API to warn against and ban specific harmful content, although they expect some false negatives and positives for the time being.
They're excited to collect user comments to help us enhance this system.

Will the language model replace google search?

Google has already developed an AI chatbot called LaMDA. Google's chatbot's performance was so close to human interaction that a Google engineer declared LaMDA was sentient. Is it unrealistic to think that a business like OpenAI, Google, or Microsoft will one day replace traditional search with an AI chatbot, given how these large language models can answer many questions? The possibility that a question-and-answer chatbot would one day replace Google is terrifying to people who work in search marketing. It spurred debate in online search marketing circles such as the prominent Facebook SEO Signals Lab, where someone wondered if searches would shift away from search engines and toward chatbots. After using ChatGPT, it can be said that the concern of search being replaced by a chatbot is not unwarranted. Although the technology has a long way to go, it is plausible to imagine a hybrid search and chatbot future for search. However, the current ChatGPT implementation is a tool that, at some time, will require the purchase of credits to operate.

Conclusion

ChatGPT is envisioned as a tool for which the general public will eventually have to pay. ChatGPT may write code, poems, songs, and even short stories in an author's style. ChatGPT's ability to follow instructions elevates it from an information source to a tool that may be requested to complete a task. This makes it suitable for producing essays on nearly any subject. ChatGPT can be used to create outlines for articles or even complete books. It will respond to almost any assignment that can be answered using written words.