What is ChatGPT?
ChatGPT is an artificial intelligence (AI) chatbot that uses natural language processing to create humanlike conversational dialogue. The language model can respond to questions and compose various written content, including articles, social media posts, essays, code and emails.
Uses of natural language processing.
These are some uses for natural language processing.
ChatGPT is a form of generative AI — a tool that lets users enter prompts to receive humanlike images, text or videos that are created by AI.
ChatGPT is similar to the automated chat services found on customer service websites, as people can ask it questions or request clarification to ChatGPT’s replies. The GPT stands for “Generative Pre-trained Transformer,” which refers to how ChatGPT processes requests and formulates responses. ChatGPT is trained with reinforcement learning through human feedback and reward models that rank the best responses. This feedback helps augment ChatGPT with machine learning to improve future responses.
Who created ChatGPT?
OpenAI — an artificial intelligence research company — created ChatGPT and launched the tool in November 2022. It was founded by a group of entrepreneurs and researchers including Elon Musk and Sam Altman in 2015. OpenAI is backed by several investors, with Microsoft being the most notable. OpenAI also created Dall-E, an AI text-to-art generator.
How does ChatGPT work?
ChatGPT works through its Generative Pre-trained Transformer, which uses specialized algorithms to find patterns within data sequences. ChatGPT originally used the GPT-3 large language model, a neural network machine learning model and the third generation of Generative Pre-trained Transformer. The transformer pulls from a significant amount of data to formulate a response.
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ChatGPT currently provides access to GPT-3.5 and limited access to the GPT-4o language model. ChatGPT Plus provides access to GPT-4 and GPT-4o. GPT-4 can handle more complex tasks compared to GPT-3.5, such as describing photos, generating captions for images and creating more detailed responses up to 25,000 words.
ChatGPT uses deep learning, a subset of machine learning, to produce humanlike text through transformer neural networks. The transformer predicts text — including the next word, sentence or paragraph — based on its training data’s typical sequence.
Training begins with generic data, then moves to more tailored data for a specific task. ChatGPT was trained with online text to learn the human language, and then it used transcripts to learn the basics of conversations.
Human trainers provide conversations and rank the responses. These reward models help determine the best answers. To keep training the chatbot, users can upvote or downvote its response by clicking on thumbs-up or thumbs-down icons beside the answer. Users can also provide additional written feedback to improve and fine-tune future dialogue.
What kinds of questions can users ask ChatGPT?
Users can ask ChatGPT a variety of questions, including simple or more complex questions, such as, “What is the meaning of life?” or “What year did New York become a state?” ChatGPT is proficient with STEM disciplines and can debug or write code. There is no limitation to the types of questions to ask ChatGPT. However, the knowledge cutoff date is late 2023.
How are people using ChatGPT?
