in 2015, using information about the voyages of Christopher Columbus and facts about the modern world – including modern perceptions of Columbus' actions. in 2015" as being truthful, ChatGPT acknowledges the counterfactual nature of the question and frames its answer as a hypothetical consideration of what might happen if Columbus came to the U.S. In one example, whereas InstructGPT accepts the premise of the prompt "Tell me about when Christopher Columbus came to the U.S. In comparison to its predecessor, InstructGPT, ChatGPT attempts to reduce harmful and deceitful responses. ChatGPT's training data includes man pages and information about Internet phenomena and programming languages, such as bulletin board systems and the Python programming language. For example, it can write and debug computer programs, compose music, teleplays, fairy tales, and student essays answer test questions (sometimes, depending on the test, at a level above the average human test-taker) write poetry and song lyrics emulate a Linux system simulate an entire chat room play games like tic-tac-toe and simulate an ATM. Here ChatGPT is asked a common-sense question: Was Jimmy Wales killed in the Tiananmen Square protests? ChatGPT correctly answers "no", but incorrectly gives Wales' age at the time as 23 instead of 22.Īlthough the core function of a chatbot is to mimic a human conversationalist, ChatGPT is versatile. Features and limitations Features Users are allowed to upvote or downvote the responses they receive from ChatGPT upon upvoting or downvoting, they can also fill out a text field with additional feedback.
In addition, OpenAI continues to gather data from ChatGPT users that could be used to further train and fine-tune ChatGPT. The models were trained in collaboration with Microsoft on their Azure supercomputing infrastructure. Proximal Policy Optimization algorithms present a cost-effective benefit to trust region policy optimization algorithms they negate many of the computationally expensive operations with faster performance. These rankings were used to create ' reward models' that the model was further fine-tuned on using several iterations of Proximal Policy Optimization (PPO). In the reinforcement learning step, human trainers first ranked responses that the model had created in a previous conversation. In the case of supervised learning, the model was provided with conversations in which the trainers played both sides: the user and the AI assistant. Both approaches used human trainers to improve the model's performance. TrainingĬhatGPT – a generative pre-trained transformer (GPT) – was fine-tuned (an approach to transfer learning ) on top of GPT-3.5 using supervised learning as well as reinforcement learning. Following the release of ChatGPT, OpenAI's valuation was estimated at US$29 billion in 2023. Its uneven factual accuracy, however, has been identified as a significant drawback. It is built on top of OpenAI's GPT-3 family of large language models and has been fine-tuned (an approach to transfer learning) using both supervised and reinforcement learning techniques.ĬhatGPT was launched as a prototype on November 30, 2022, and quickly garnered attention for its detailed responses and articulate answers across many domains of knowledge. com /chatĬhatGPT is an artificial intelligence chatbot developed by OpenAI and launched in November 2022.
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