O-M-G, Chat GPT, Generative Pre-trained Transformer

O-M-G, Chat GPT, Generative Pre-trained Transformer

Just when I wondered, what will I blog about next, I learned about Chat GPT (Generative Pretrained Transformer), a state-of-the-art language processing AI model developed by OpenAI, an American artificial intelligence research laboratory founded in 2015 by a group including Elon Musk. (In 2018, Musk resigned his board seat, citing “a potential future conflict of interest” with Tesla AI development for self driving cars but remained a donor.)

A teacher’s nightmare:

Chat GPT is capable of generating human-like text and has a wide range of applications, including language translation, language modeling, and generating text for applications such as chatbots. It is one of the largest and most powerful language processing AI models to date. Chat GPT has “a pretty wide range of abilities. Language models are algorithms that are trained to predict the next word in a sequence of text, based on the words that came before it. This has a wide range of applications, including generating news articles, creating social media posts, and even writing code. It has the ability to write and debug computer programs; to compose music, teleplays, fairy tales, and student essays; to answer test questions (sometimes, depending on the test, at a level above the average human test-taker); to write poetry and song lyrics;  It can do everything from writing poems and cliché rom-coms in alternate universes to explaining quantum mechanics in simple terms or writing full-length research papers and articles.” 

The good old days?

When you type questions using natural language, the chatbot gives conversational, if somewhat stilted, answers. The bot remembers the thread of the dialogue, using previous questions and answers to inform its next responses. Its answers are derived from huge volumes of information on the internet.

As well, by training GPT on a large dataset of parallel text in two different languages, it can learn the relationship between the languages and generate translations that are accurate and fluent. GPT can also be used for summarization, by generating a shorter version of a long piece of text that retains the main points and ideas. 

By training GPT on a large dataset of conversation transcripts, it can learn how to carry on a conversation with a user naturally and coherently. Chatbots powered by GPT has been used for customer service, providing information and assistance to users, and even for entertainment.

Benefits or advantages of using Chat GPT:

  • Chatbots powered by GPT can handle a large volume of conversation without getting tired or needing breaks, useful for customer service or other areas where there is a high demand for conversation. GPT generates personalized responses based on the input it receives
  • Using chatbots powered by GPT can be more cost-effective than hiring human employees to handle conversation tasks.
  • Chatbots powered by GPT are available to chat with users 24/7, convenient for users who need assistance outside of business hours.
  • GPT can be trained in multiple languages, allowing it to carry on conversations with users in different languages.

Drawbacks or disadvantages of using Chat GPT:

  • While GPT can generate text that flows naturally and considers the input it receives, it is limited in understanding context and may not be able to fully understand nuances and subtleties of human conversation.
  • GPT cannot feel empathy or understand the emotions of others. This can make it difficult for it to fully engage in empathetic or emotional conversations.
  • GPT is limited by the data it was trained on and the algorithms that power it, which means it may not be able to come up with creative or original responses to certain prompts.
  • As a machine, GPT cannot take responsibility for its actions or hold itself accountable in the same way a human would. This can be a concern in certain applications, such as customer service.
  • Quality of the responses generated by GPT is largely dependent on the quality of the data for which it was trained. If the training data is biased or contains errors, the responses generated by GPT may be biased or inaccurate.

https://dev.to/bibekkakati/what-is-chat-gpt-3ko6

https://www.cnet.com/tech/computing/why-everyones-obsessed-with-chatgpt-a-mind-blowing-ai-chatbot/

https://www.sciencefocus.com/future-technology/gpt-3/

Part of this article was written by Chat GPT.

Yikes.