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
New models and developer products announced at DevDay
GPT-4 Turbo with 128K context and lower prices, the new Assistants API, GPT-4 Turbo with Vision, DALL·E 3 API, and more. Today, we shared dozens of new additions and improvements, and reduced pricing across many parts of our platform. These include: New GPT-4 Turbo model that is more capable, cheaper and supports a 128K context windowNew Assistants API that makes it easier for developers to build
ChatGPT can now see, hear, and speak
We are beginning to roll out new voice and image capabilities in ChatGPT. They offer a new, more intuitive type of interface by allowing you to have a voice conversation or show ChatGPT what you’re talking about. We are beginning to roll out new voice and image capabilities in ChatGPT. They offer a new, more intuitive type of interface by allowing you to have a voice conversation or show ChatGPT w
DALL·E 3
DALL·E 3 is now available to all ChatGPT Plus, Team and Enterprise users, as well as to developers through our API. Modern text-to-image systems have a tendency to ignore words or descriptions, forcing users to learn prompt engineering. DALL·E 3 represents a leap forward in our ability to generate images that exactly adhere to the text you provide.
Teaching with AI
We’re sharing a few stories of how educators are using ChatGPT to accelerate student learning and some prompts to help educators get started with the tool. In addition to the examples below, our new FAQ contains additional resources from leading education organizations on how to teach with and about AI, examples of new AI-powered education tools, and answers to frequently asked questions from educ
GPT-3.5 Turbo fine-tuning and API updates
Developers can now bring their own data to customize GPT-3.5 Turbo for their use cases. Fine-tuning for GPT-3.5 Turbo is now available, with fine-tuning for GPT-4 coming this fall. This update gives developers the ability to customize models that perform better for their use cases and run these custom models at scale. Early tests have shown a fine-tuned version of GPT-3.5 Turbo can match, or even
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
Improving mathematical reasoning with process supervision
We've trained a model to achieve a new state-of-the-art in mathematical problem solving by rewarding each correct step of reasoning (“process supervision”) instead of simply rewarding the correct final answer (“outcome supervision”). In addition to boosting performance relative to outcome supervision, process supervision also has an important alignment benefit: it directly trains the model to prod
Language models can explain neurons in language models
We use GPT-4 to automatically write explanations for the behavior of neurons in large language models and to score those explanations. We release a dataset of these (imperfect) explanations and scores for every neuron in GPT-2. Language models have become more capable and more broadly deployed, but our understanding of how they work internally is still very limited. For example, it might be diffic
New ways to manage your data in ChatGPT
As an AI language model, I can perform a wide range of tasks, including but not limited to: Answering questions and providing general information on various topics Offering recommendations or suggestions Assisting with problem-solving and brainstorming ideas Creating written content, such as articles, essays, stories, and poems Proofreading and editing text for grammar, punctuation, and style Expl
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
Introducing ChatGPT and Whisper APIs
Developers can now integrate ChatGPT and Whisper models into their apps and products through our API. ChatGPT and Whisper models are now available on our API, giving developers access to cutting-edge language (not just chat!) and speech-to-text capabilities. Through a series of system-wide optimizations, we’ve achieved 90% cost reduction for ChatGPT since December; we’re now passing through those
Jukebox
Provided with genre, artist, and lyrics as input, Jukebox outputs a new music sample produced from scratch. Below, we show some of our favorite samples. Automatic music generation dates back to more than half a century.[^reference-1][^reference-2][^reference-3][^reference-4] A prominent approach is to generate music symbolically in the form of a piano roll, which specifies the timing, pitch, veloc
DALL·E: Introducing outpainting
Today we’re introducing Outpainting, a new feature which helps users extend their creativity by continuing an image beyond its original borders—adding visual elements in the same style, or taking a story in new directions—simply by using a natural language description. DALL·E’s Edit feature already enables changes within a generated or uploaded image, a capability known as Inpainting. Now, with Ou
Introducing Triton: Open-source GPU programming for neural networks
Triton makes it possible to reach peak hardware performance with relatively little effort; for example, it can be used to write FP16 matrix multiplication kernels that match the performance of cuBLAS—something that many GPU programmers can’t do—in under 25 lines of code. Our researchers have already used it to produce kernels that are up to 2x more efficient than equivalent Torch implementations,
Improving language model behavior by training on a curated dataset
ResearchImproving language model behavior by training on a curated dataset Our latest research finds we can improve language model behavior with respect to specific behavioral values by fine-tuning on a small, curated dataset. We’ve found we can improve language model behavior with respect to specific behavioral values by fine-tuning on a curated dataset of <100 examples of those values. We also f
Scaling Kubernetes to 7,500 nodes
We’ve scaled Kubernetes clusters to 7,500 nodes, producing a scalable infrastructure for large models like GPT-3, CLIP, and DALL·E, but also for rapid small-scale iterative research such as Scaling Laws for Neural Language Models. Scaling a single Kubernetes cluster to this size is rarely done and requires some special care, but the upside is a simple infrastructure that allows our machine learnin
OpenAI Multimodal Research
A long-term objective of artificial intelligence is to build “multimodal” neural networks—AI systems that learn about concepts in several modalities, primarily the textual and visual domains, in order to better understand the world. In our latest research announcements, we present two neural networks that bring us closer to this goal. The first neural network, DALL·E, can successfully turn tex
Generative Modeling with Sparse Transformers
We’ve developed the Sparse Transformer, a deep neural network which sets new records at predicting what comes next in a sequence—whether text, images, or sound. It uses an algorithmic improvement of the attention mechanism to extract patterns from sequences 30x longer than possible previously. One existing challenge in AI research is modeling long-range, subtle interdependencies in complex data li
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