Get Ahead of the Curve: USC Experts Share their Insight on ChatGPT Generative AI

by Santiago Fernandez
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Computer experts from the University of Southern California are talking about ChatGPT, an AI technology application that has become really popular. Since its launch in November 2022, millions of people have been using ChatGPT to start conversations on different topics such as practical and creative things.

This application is really popular because it can help us do things like write letters, fixing computer codes, writing scripts for movies and songs. But, this leads to some ethical questions. Is the advice given by the app accurate? How was it programmed? Will it have good or bad effects on our lives? Can we trust it as a replacement for a real therapist?

To figure out what could happen when using ChatGPT, we asked some experts from the University of Southern California who know a lot about computer science and natural language.

What do they think about ChatGPT?

I’m really impressed by what this machine can do, like quickly finding good answers and keeping up with a conversation. It’s amazing that it can write code, fix mistakes in code and summarize web content while also remembering what we said before. I’m glad it also has protection against toxic things that people have tried to do. — Swabha Swayamdipta, an awesome Computer Science Professor.

I’m very excited about how well a certain idea worked. A lot of research experts were surprised because this level of success didn’t come as quickly as they thought it would. Even though the main idea wasn’t hard to understand, it was actually difficult to get everything working correctly and use enough computer power. This means that while it’s not necessarily a big breakthrough in science, it shows us what can be done when we work together on something. — Xiang Ren, Andrew and Erna Viterbi Early Career Chair and Assistant Professor of Computer Science

ChatGPT and other language models released in the past few years are really good at coming up with relevant and accurate sentences. Even though it’s not easy to judge how effective these closed-source models can be, Professor Jesse Thomason believes that they have made a great progress in creating coherent content.

How is GPT different from other models used to create language?

ChatGPT is a special type of computer program that can understand instructions and have conversations with people. It was made using really powerful computer technology, which means it was built using a lot of data – nearly 45TB in total! Unfortunately, no one outside of OpenAI knows exactly how it was made, so there are some details that remain a mystery. — Swabha Swayamdipta

Have you ever heard of ChatGPT? It is a type of system, but it has some limits. We need to be careful when trusting this type of system because it can make mistakes. For example, while talking with humans, it might say something that sounds right and believable but could be totally wrong factual-wise. This could become serious if used for education as people may build on the wrong evidence, leading them to bad predictions.

ChatGPT, even though it wasn’t made to solve math problems, was still wrong sometimes. The problem is it can’t tell when it’s right and when it’s wrong, which makes its deployment impossible. This means ChatGPT isn’t reliable and won’t work.

Jesse Thomason thinks ChatGPT and other similar tools could make it simpler for people and organizations to share lots of messages which look real but are actually fake. Are you worried about how this might affect our world? (For example, does it have the potential to hurt how reliable scientific research is?)

We should be careful with language models because there’s a chance they may come up with things that aren’t real. But, it won’t fool someone for very long since we can work on building technology to spot these fakes. Unfortunately, this could possibly get some people confused before we learn how to detect them.

Do you think ChatGPT can help people in what they do?

ChatGPT is a type of AI technology that may change the way people write. Instead of starting from scratch, writers can get ideas from ChatGPT. Programmers might also use it for help. But people are concerned about putting this technology into action because there are risks. For example, offering this kind of help to people who show signs of harmful behavior isn’t a great idea because it will not replace an actual human therapist. Before ChatGPT can be used by everyone, safeguards must be put in place to protect those at risk.

Frequently Asked Questions About ChatGPT

What is ChatGPT for?

ChatGPT is a natural language processing and understanding AI chatbot. It is designed to help people have natural conversations with AI and learn more about the topics they are interested in. ChatGPT can also help automate customer service conversations and answer FAQs.

Is ChatGPT free?

Yes, ChatGPT is completely free to use.

Who owns ChatGPT?

 ChatGPT is owned by OpenAI, a non-profit artificial intelligence research company.

What is ChatGPT API?

ChatGPT API is a Natural Language Generation (NLG) API that enables developers to create personalized and engaging conversations with their users. It uses advanced natural language processing and machine learning algorithms to generate meaningful and accurate responses to user inputs in real-time. It can be used for interactive chatbot applications, text generation for natural language processing tasks, and for providing personalized customer support.

What is ChatGPT?

ChatGPT is a chatbot developed by OpenAI that uses natural language processing (NLP) and machine learning (ML) to allow users to interact with it in a conversational manner. ChatGPT is designed to understand and respond to complex queries, making it a powerful tool for interactive customer service and other applications.

How does ChatGPT work?

ChatGPT is an AI-powered chatbot that uses natural language processing (NLP) to understand conversations and respond in an intelligent manner. It uses an open-source GPT-3 language model to generate responses. The system is trained on a large corpus of conversational data and has a wide range of topics it can discuss. The bot can generate responses in a variety of languages and can even recognize the sentiment of the conversation.

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