ChatGPT is a long-form question-answering AI from OpenAI that conversely responds to complicated inquiries.
It's a ground-breaking technology since it's been taught to understand what people mean when they ask questions.
Many users are in awe of its capacity to deliver responses of human-quality, which gives rise to the idea that it might soon have the ability to revolutionize how people interact with computers and alter how information is retrieved.
Based on GPT-3.5, OpenAI created the big language model chatbot known as ChatGPT. It is remarkably capable of engaging in conversational conversations and responding in a way that occasionally seems surprisingly human.
The task of foretelling the following word in a string of words is carried out by large language models.
ChatGPT learns how to obey instructions and provide responses that are acceptable to humans using Reinforcement Learning with Human Feedback (RLHF), an additional training layer.
Who Developed ChatGPT?
The artificial intelligence company OpenAI, headquartered in San Francisco, developed ChatGPT. The for-profit OpenAI LP is a subsidiary of OpenAI Inc., a nonprofit organization.
The well-known DALLE deep learning model from OpenAI, which creates images from text prompts, is well-known.
Sam Altman, who was formerly the president of Y Combinator, is the CEO.
Microsoft has invested $1 billion as a partner and investor. They worked together to create the Azure AI Platform.
Significant Language Models
A sizable language model is ChatGPT (LLM). Massive volumes of data are used to train large language models (LLMs) to precisely anticipate what word will appear next in a phrase.
It was shown that the language models could perform more tasks when there was more data available.
Stanford University claims:
GPT-3 was trained on 570 terabytes of text and has 175 billion parameters. For comparison, GPT-2, its forerunner, had 1.5 billion parameters, which was nearly 100 times smaller.
The behavior of the model is substantially altered by the increase in scale; the GPT-3 is now capable of carrying out tasks for which it was not specifically taught, such as translating lines from English to French, with little to no training data.
In GPT-2, this tendency was largely missing. Additionally, GPT-3 performs better than models that were specifically trained to complete some tasks, but falls short on other activities.
Who Trained ChatGPT and how?
To assist ChatGPT learn dialogue and develop a human manner of response, GPT-3.5 was trained on enormous volumes of code-related data and knowledge from the internet, including sources like Reddit debates.
In order to teach the AI what people anticipate when they ask a question, Reinforcement Learning with Human Feedback was also used to train ChatGPT. This method of training the LLM is novel since it goes beyond only teaching it to anticipate the next word.