What is ChatGPT and How Can It Help You?: The chatbot ChatGPT (Generative Pre-trained Transformer) was introduced by OpenAI in November 2022 as part of a family of large language models called GPT-3.5. It includes both supervised and reinforcement learning techniques and was built on top of OpenAI’s GPT-3.5 family.
I would like to explain what ChatGPT is and why it may be the most important tool since modern search engines have become so popular
A new chatbot called ChatGPT was introduced by OpenAI, allowing it to answer complex questions using conversational language.
The use of this technology is revolutionary because it’s trained to recognize the meaning of the question that humans ask when asked.
This technology has been greeted with awe by many users, who are impressed by the ability it exhibits to respond in a human-like manner, which has spawned the idea that it may eventually have the power to revolutionize how people interact with computers and change how we gather information.
What Is ChatGPT?
There are many interesting aspects to ChatGPT. It is a large language model chatbot that has been developed by OpenAI based on GPT-3.5. It has a remarkable ability to interact in a conversational dialogue form and provides responses that resemble human responses to some degree.
The purpose of large language models is to predict the next word in a series of words based on their previous choices.
The Reinforcement Learning with Human Feedback (RLHF) training method is another addition to the ChatGPT training process as it makes use of human feedback to ensure that ChatGPT is able to understand what is being asked of it and can provide answers that satisfy human needs.
Who Built ChatGPT?
An artificial intelligence software program called ChatGPT was created by San Francisco-based OpenAI Inc., a non-profit that is also the parent company of a for-profit that goes by the same name.
It is a well-known fact that OpenAI is famous for its widely used DALLE system, which involves generating images based on text instructions known as prompts.
In addition to being the CEO, Sam Altman previously served as the president of Y Combinator.
As part of the Azure AI Platform, Microsoft has introduced a partner and investor in the amount of $1 billion dollars. This platform was developed together with Microsoft.
Large Language Models
We use ChatGPT as a large language model (LLM). A Large Language Model (LLM) is a computer algorithm that has been trained with huge amounts of data to predict what word will come next in a sentence with great accuracy.
According to the results of the study, the language models were able to perform more and more functions as the amount of data increased.
Stanford University has stated the following:
There are 175 billion variables in GPT-3 and it was trained on 570 gigabytes of text. By comparison, its predecessor, GPT-2, had 1.5 billion variables (over 100 times smaller) and had been trained on a much smaller text set.
The increase in scale dramatically changes the behavior of the model – it is now able to perform tasks it was not explicitly trained on, like translating sentences from English into French, with only a few examples of training.
GPT-2 exhibited largely none of this behavior. In addition, GPT-3 outperformed a model specifically trained to solve those tasks in some tasks, whereas it performed below a model explicitly trained for those tasks in other tasks.”
As a part of its classification task, LLMs can predict the next word in a series of words in a sentence and the following sentences – kind of like autocomplete, but on a mind-blowing scale.
A person who possesses this ability is capable of writing paragraphs and entire pages of content thanks to this ability.
The problem with LLMs is that they cannot always understand exactly what a human being wants; this is the reason why they are limited.
With its Reinforcement Learning with Human Feedback (RLHF) training, ChatGPT is able to improve upon state-of-the-art at this point, as well as state-of-the-art in general.
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How Was ChatGPT Trained?
ChatGPT was trained over a period of several months using massive amounts of data collected online from a variety of sources, such as Reddit discussions, to help it learn dialogue and to be able to respond in a human-like manner.
During the training process for ChatGPT, human feedback was also taken into account, in order to ensure that the AI understood what humans expected when they asked a question (a technique known as Reinforcement Learning with Human Feedback). It is revolutionary to train the LLM in this manner because it goes far beyond just teaching it to predict what will come up next.
Research published in March 2022 by the University of California at Berkeley explained why the idea of training language models to follow instructions with human feedback represents such an advancement:
Our goal in this work is to increase the positive impact of our large language models by training them to follow the instructions given to them by the set of humans to which they are to be trained.
The language models are designed to optimize the next word prediction objective by default, but this is just a proxy for what we actually want the models to do on our behalf.
The results of our study indicate that we are on the right track with regards to making language models more helpful, trustworthy, and harmless by using our techniques.
The bigger the language model, the less likely it is that it will follow the intent of a user in an intuitive way.
There are a number of factors that can contribute to untruthful, toxic, or simply unhelpful outputs generated by large language models.
To put it another way, these models are not aligned with their users in any way.”
During the building of ChatGPT, engineers were hired to evaluate the output of both systems: ChatGPT and InstructGPT (which is considered to be a “sibling model” of ChatGPT).
How does ChatGPT work? What are its limitations?
Toxic response limitations
There are specific tasks that ChatGPT performs to make sure it does not provide harmful or toxic responses. As a result, it will not answer questions that are considered harmful or toxic.
There is a direct correlation between the quality of the directions and the quality of the answers
As small as the ChatGPT application may be, it does have one major limitation, namely that it depends upon the quality of the input to generate a good output. In other words, expert instructions generate a better output.
There Is No Guarantee That the Answers Are Correct
It is also a limitation to this technology that the answers it gives can be tricked into believing that they are correct because the system is trained to provide answers that feel right to humans.
Users of ChatGPT have discovered that it can sometimes provide incorrect answers, even ones that are outright incorrect.
As a result of the presence of answers that humans feel are right, the moderators of Stack Overflow, a website that answers coding questions, may have accidentally discovered an unintended consequence.
There were hundreds of user responses on Stack Overflow generated from ChatGPT that appeared to be correct, however, the vast majority of them were incorrect.
After receiving thousands of answers from ChatGPT users, the volunteer moderator team became overwhelmed, resulting in the administrators enacting a ban against any users showing a record of answering questions from ChatGPT.
Is ChatGPT Free To Use?
At the moment, ChatGPT is available for free during the period of the “research preview”.
Currently, users can try out the chatbot and provide feedback on its responses so that the artificial intelligence (AI) can improve its ability to answer questions and to learn from its mistakes so that it can become better at answering questions.
According to the official announcement, OpenAI is eager to reach out to the community concerning the mistakes:
It’s important to keep in mind that, although we have done our best to make the model refuse inappropriate requests, it may sometimes respond to harmful instructions or behave in an unfavorable manner.
As of right now, we are using the Moderation API to warn or block certain types of unsafe content, but we anticipate that it will have some false positives as well as false negatives as we continue to test it out.
We are eager to collect user feedback so that we may continue to improve this system in the future.
Currently, there is a contest running with a prize of $500 worth of ChatGPT credits to encourage people to rate the entries submitted.
There is an option for users to provide feedback on problematic model outputs through the interface, as well as on false positives/negatives derived from the external content filter available as part of the interface, which is another feature of the model.
A special interest of ours is feedback regarding outputs that could potentially result in harmful outcomes in real-world, non-adversarial situations, as well as feedback that can help us uncover and understand novel risks and possible mitigation strategies.
For a chance to win up to $500 in API credits by entering the ChatGPT Feedback Contest3, you have the option to choose to enter the contest.
There is an option to submit entries via the ChatGPT interface, which is linked to a feedback form where entries can be submitted.”
We would like to remind you that the current contest ends at 11:59 p.m. PST on December 31, 2022.
What are the uses of ChatGPT?
Using hatGPT, code can be written in the style of a specific author, as well as poetry, songs, and even short stories.
ChatGPT’s expertise in following directions enables it to become more than just a source of information. It has the ability to assist you in accomplishing a task, whether it is small or large.
Because of this, it is very useful for writing essays on a wide range of topics.
As a great tool for creating outlines of articles, or even entire novels, ChatGPT can be used as a tool for creating outlines.
If you ask it a question, it will provide a written response for virtually any task that can be answered in writing.