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ChatGPT helps you get answers, find inspiration and be more productive. It is free to use and easy to try. Just ask and ChatGPT can help with writing, learning, brainstorming and more.
Nov 30, 2022 · ChatGPT is a sibling model to InstructGPT , which is trained to follow an instruction in a prompt and provide a detailed response. We are excited to introduce ChatGPT to get users’ feedback and learn about its strengths and weaknesses. During the research preview, usage of ChatGPT is free. Try it now at chatgpt.com .
ChatGPT helps you get answers, find inspiration and be more productive. It is free to use and easy to try. Just ask and ChatGPT can help with writing, learning, brainstorming and more.
Llama-3.1-Nemotron-70B-Instruct is a large language model customized by NVIDIA in order to improve the helpfulness of LLM generated responses. Chat Language Generation
GPT-4 is available on ChatGPT Plus and as an API for developers to build applications and services. View contributions. We’re excited to see how people use GPT-4 as we work towards developing technologies that empower everyone. Try on ChatGPT Plus View GPT-4 research.
Apr 6, 2023 · ChatGPT is a language model that was created by OpenAI in 2022. Based on neural network architecture, it’s designed to process and generate responses for any sequence of characters that make sense, including different spoken languages, programming languages, and mathematical equations.
ChatGPT is a generative artificial intelligence (AI) chatbot [2][3] developed by OpenAI and launched in 2022. It is based on the GPT-4o large language model (LLM).
Explore resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's developer platform.
Nov 1, 2024 · The chatbot uses GPT-4, a large language model that uses deep learning to produce human-like text. When did ChatGPT get released? November 30, 2022 is when ChatGPT was released for public use.
ChatGPT is fine-tuned from GPT-3.5, a language model trained to produce text. ChatGPT was optimized for dialogue by using Reinforcement Learning with Human Feedback (RLHF) – a method that uses human demonstrations and preference comparisons to guide the model toward desired behavior.
