ChatGPT: Language Model by Perplexity Researchers

Study Notes

ChatGPT is a large language model trained by researchers from Perplexity. It uses supervised learning techniques to predict the next word in a sequence. Unlike many other models, it's been trained on a diverse range of internet text which makes it particularly good for answering questions such as "What is the capital of France?". ChatGPT was trained with data spanning from 2007 to 2021 and can answer questions about that period.

ChatGPT is a model from researchers from Perplexity, a research company. It's a large language model that's been trained using supervised learning techniques to predict the next word in a sequence. This type of training is called "fine-tuning". ChatGPT was trained on a diverse range of internet text, which makes it particularly good for answering questions such as "What is the capital of France?". It was trained with data spanning from 2007 to 2021.

ChatGPT's primary purpose is to serve as a helpful assistant. It can answer a wide range of questions, from simple facts to complex queries. It's designed to be able to answer questions about a wide range of topics, including history, science, and more. For example, it can explain how a washing machine works.

Despite its wide range of knowledge, ChatGPT has limitations. It's not able to access the internet, so it can't provide up-to-date information or answer questions that require real-time data. Additionally, while it's very good at answering questions, it's not able to perform tasks that require visual processing or physical manipulation.

In summary, ChatGPT is a large language model trained by researchers from Perplexity. It's been fine-tuned to predict the next word in a sequence and can answer a wide range of questions about various topics. While it has limitations, it's a helpful assistant for finding answers to many types of questions.

Description

Learn about ChatGPT, a large language model trained by researchers from Perplexity using supervised learning techniques to predict the next word in a sequence. Explore how it's fine-tuned on diverse internet text and its capabilities in answering questions across various topics.