Hello GPT-4o
GPT-4o (“o” for “omni”) is a step towards much more natural human-computer interaction—it accepts as input any combination of text, audio, image, and video and generates any combination of text, audio, and image outputs. It can respond to audio inputs in as little as 232 milliseconds, with an average of 320 milliseconds, which is similar to human response time(opens in a new window) in a conversat
Introducing ChatGPT Enterprise
Get enterprise-grade security & privacy and the most powerful version of ChatGPT yet. We’re launching ChatGPT Enterprise, which offers enterprise-grade security and privacy, unlimited higher-speed GPT-4 access, longer context windows for processing longer inputs, advanced data analysis capabilities, customization options, and much more. We believe AI can assist and elevate every aspect of our work
Function calling and other API updates
We’re announcing updates including more steerable API models, function calling capabilities, longer context, and lower prices. July 20, 2023 update: We previously communicated to developers that gpt-3.5-turbo-0301, gpt-4-0314 and gpt-4-32k-0314 models were scheduled for sunset on Sept 13, 2023. After reviewing feedback from customers and our community, we are extending support for those models unt
ChatGPT plugins
We’ve implemented initial support for plugins in ChatGPT. Plugins are tools designed specifically for language models with safety as a core principle, and help ChatGPT access up-to-date information, run computations, or use third-party services. In line with our iterative deployment philosophy, we are gradually rolling out plugins in ChatGPT so we can study their real-world use, impact, and safety
GPT-4
We’ve created GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks. We’ve created GPT-4, the latest milestone in OpenAI’s effort in scalin
Improving language understanding with unsupervised learning
Our system works in two stages; first we train a transformer model on a very large amount of data in an unsupervised manner—using language modeling as a training signal—then we fine-tune this model on much smaller supervised datasets to help it solve specific tasks. We developed this approach following our sentiment neuron work, in which we noted that unsupervised learning techniques can yield sur
Universe
Universe allows an AI agent to use a computer like a human does: by looking at screen pixels and operating a virtual keyboard and mouse. We must train AI systems on the full range of tasks we expect them to solve, and Universe lets us train a single agent on any task a human can complete with a computer. In April, we launched Gym, a toolkit for developing and comparing reinforcement learning (RL)
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