I share in this article what Chat GPT is and why it may be the most important tool since the creation of modern search engines. Go for it!. OpenAI introduced a long-form question answering Artificial Intelligence AI called Chat GPT that answers complex questions conversationally. It is a revolutionary technology. Because it's trained to learn what humans mean when they ask a question. Many users are in awe of its ability to provide human-quality responses, inspiring the feeling that it may eventually have the power to disrupt the way humans interact with computers and change the way information is obtained. What is Chat GPT? Chat GPT is a long language model chatbot developed by OpenAI based on GPT.
He has a remarkable ability to interact in the form of conversational dialogue and provide responses that can seem surprisingly human. Large Language Models perform the task of Latest Mailing Database predicting the next word in a series of words. Reinforcement Learning with Human Feedback RLHF is an additional layer of training that uses human feedback to help Chat GPT learn the ability to follow instructions and generate responses that are satisfying to beings. humans. Who created Chat GPT? Chat GPT was created by San Francisco-based artificial intelligence company OpenAI. OpenAI Inc. is the not-for-profit parent company of the for-profit OpenAI LP. OpenAI is famous for its well-known DALL·E , a deep learning model that generates images from text instructions called prompts.
The CEO is Sam Altman, who was previously the president of Y Combinator , a famous startup accelerator. Microsoft is a partner and investor in the amount of $ billion dollars. They jointly developed the Azure AI Platform . Long language models Chat GPT is a Long Language Model LLM. Long Language Models LLMs are trained on massive amounts of data to accurately predict which word comes next in a sentence. Increasing the amount of data was found to increase the ability of language models to do more. According to Stanford University : “GPT- has billion parameters and was trained on gigabytes of text. For comparison, its predecessor, GPT- , was times smaller with . billion parameters.