ChatGPT or Generative Pre-trained Transformer 3 was created by OpenAI, an AI and research company, and was launched on November 30, 2022, according to ZDNet. It is an artificial intelligence model that has been trained to understand and generate human-like language. It is part of a larger family of AI models known as transformers, which were introduced in 2017 by researchers at Google.
Since then, transformers have become the go-to model for natural language processing tasks, including text classification, sentiment analysis, and machine translation.
It’s like having a conversation with a friend, except that your friend is actually a computer program. This technology has been developed using machine learning algorithms that allow it to learn and adapt to new information.
But what exactly is ChatGPT and why does it matter? Here’s what you need to know.
How Does ChatGPT Work?

ChatGPT is a language model that has been trained to follow instructions in a prompt and provide a detailed response. ChatGPT is trained using reinforcement learning from human feedback, which means that it learns from the quality ratings of its own responses given by human AI trainers.
ChatGPT is built with OpenAI’s GPT-3.5 and GPT-4 families of large language models (LLMs). It uses a neural network architecture known as a transformer, which is designed to process sequential data, such as text.
It is then fine-tuned on specific tasks, such as answering questions or generating text, by training on smaller amounts of task-specific data. This approach has been shown to be highly effective on a wide range of natural language processing tasks.
What Can ChatGPT Do?

Chat GPT has a wide range of capabilities thanks to its advanced machine learning algorithms and natural language processing abilities. ChatGPT can interact in a conversational way, which makes it possible for it to answer follow-up questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.
For example, ChatGPT can ask clarifying questions to debug code, explain the reasoning behind an answer, or politely decline to write harmful content. ChatGPT can also generate creative content such as jokes, poems, stories, images, tweets, code, etc.
By analyzing vast amounts of text data, such as books, articles, and social media posts, Chat GPT has developed a deep understanding of natural language, making it an ideal tool for customer service and support. Additionally, it has applications in education, such as generating quizzes and providing feedback.
What Are The Limitations Of ChatGPT?
As reported by Business Insider Africa, ChatGPT is not perfect and sometimes writes plausible-sounding but incorrect or nonsensical answers. This is because it does not have access to a source of truth during reinforcement learning training and it may be misled by the human demonstrations that depend on what the model knows rather than what the human knows.
ChatGPT is also sensitive to tweaks to the input phrasing or attempting the same prompt multiple times. For example, given one phrasing of a question, the model can claim to not know the answer, but given a slight rephrase, it can answer correctly. The model is also often excessively verbose and overuses certain phrases.
In conclusion, ChatGPT is an impressive natural language processing tool that can have human-like conversations and perform various tasks. It is based on reinforcement learning from human feedback and fine-tuned from GPT-3.5. However, it also has some limitations and challenges that need to be addressed. ChatGPT is still in research preview and users can try it for free.
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