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The Hindu Editorial Analysis- 31st March 2023 | Current Affairs & Hindu Analysis: Daily, Weekly & Monthly - UPSC PDF Download

The Hindu Editorial Analysis- 31st March 2023 | Current Affairs & Hindu Analysis: Daily, Weekly & Monthly - UPSC

GPT-4 — a shift from ‘what it can do’ to ‘what it augurs’

Why in News?

OpenAI has announced GPT4, the latest version of its large language model that powers key applications like ChatGPT and the new Bing.

What is ChatGPT?

  • ChatGPT is an artificial-intelligence chatbot developed by San Francisco-based AI research company OpenAI in 2022.
  • It is a trained model which interacts in a conversational way. The dialogue format makes it possible to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.
  • It can have conversations on topics from history to philosophy, generate lyrics and suggest edits to computer programming code.

Technology Used

  • The technology that underlies ChatGPT is referenced in the second half of its name, GPT, which stands for Generative Pre-trained Transformer. 
  • Transformers are specialized algorithms for finding long-range patterns in sequences of data. 
  • A transformer learns to predict not just the next word in a sentence but also the next sentence in a paragraph and the next paragraph in an essay. This is what allows it to stay on topic for long stretches of text.

Shortcomings of the Previous Models

  • The chatbot isn’t always accurate: Their sources aren’t fact-checked, and they rely on human feedback to improve its accuracy. They can also get facts mixed up and produce misinformation.
  • GPT-3 and ChatGPT’s GPT-3.5 were limited to textual input and output, meaning they could only read and write. 
  • GPT-3 and GPT-3.5 only operated in one modality, text, meaning users could only ask questions by typing them out.

What is GPT-4?

  • GPT-4 is a large multimodal model which means it can encompass more than just text and accepts images as inputs.
  • GPT-4 also exhibits human-level performance on various professional and academic benchmarks.
  • For example, it can answer tax-related questions, schedule a meeting among three busy people, or learn a user’s creative writing style.
  • GPT-4 is also capable of handling over 25,000 words of text, opening up a greater number of use cases that now also include long-form content creation, document search and analysis, and extended conversations.

How is GPT-4 different from GPT-3?

  • GPT-4 can see images now: GPT-4 can be fed images and asked to output information accordingly whereas GPT-3 and ChatGPT’s GPT-3.5 were limited to textual input and output.
  • GPT-4 can process a lot more information at a time.
  • GPT-4 has an improved accuracy: GPT-4 significantly reduces hallucinations relative to previous models and scores 40 per cent higher than GPT-3.5 on factuality evaluations. 
  • Hard to trick: It will be a lot harder to trick GPT-4 into producing undesirable outputs such as hate speech and misinformation.
  • Better at understanding languages other than English: GPT-4 is more multilingual which means that users will be able to use chatbots based on GPT-4 to produce outputs with greater clarity and higher accuracy in their native languages.
The document The Hindu Editorial Analysis- 31st March 2023 | Current Affairs & Hindu Analysis: Daily, Weekly & Monthly - UPSC is a part of the UPSC Course Current Affairs & Hindu Analysis: Daily, Weekly & Monthly.
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FAQs on The Hindu Editorial Analysis- 31st March 2023 - Current Affairs & Hindu Analysis: Daily, Weekly & Monthly - UPSC

1. What is GPT-4 and how does it differ from its predecessors?
Ans. GPT-4 refers to the fourth version of the Generative Pre-trained Transformer, an artificial intelligence language model. It is an advanced system that can understand and generate human-like text. Compared to its predecessors, GPT-4 is expected to have improved capabilities in terms of language understanding, context comprehension, and generating more coherent and contextually relevant responses.
2. What is the significance of the shift from 'what it can do' to 'what it augurs' in the context of GPT-4?
Ans. The shift from 'what it can do' to 'what it augurs' indicates a change in focus from the immediate capabilities of GPT-4 to the potential implications and future possibilities associated with such advanced language models. It suggests that GPT-4 is not just about what it can currently achieve, but also about the broader impact it may have on various domains like communication, content generation, and information dissemination.
3. How will GPT-4 impact various industries and sectors?
Ans. GPT-4 is expected to have a significant impact on various industries and sectors. In the field of content creation, it can automate the generation of high-quality articles, product descriptions, and other forms of written content. In customer service, it can enhance chatbots and virtual assistants by providing more accurate and contextually appropriate responses. Additionally, GPT-4 can contribute to advancements in language translation, text summarization, and even creative writing.
4. What are the potential benefits and risks associated with GPT-4?
Ans. The potential benefits of GPT-4 include improved efficiency in content generation, enhanced language translation, and better customer service experiences. It can also assist researchers and professionals in various domains by providing quick access to relevant information. However, there are risks involved, such as the potential for misinformation dissemination, ethical concerns regarding the use of AI-generated content, and the possibility of job displacement in certain industries.
5. How does GPT-4 contribute to the development of AI technology?
Ans. GPT-4 represents a significant advancement in AI technology by demonstrating improved language understanding and generation capabilities. It pushes the boundaries of natural language processing, machine learning, and deep learning techniques. The development of GPT-4 also paves the way for further research and innovation in the field of AI, fostering the growth of more advanced language models and potential applications in various domains.
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