GPT-4 is OpenAI’s most advanced system, producing safer and more useful responses.
With broad general knowledge and domain expertise, GPT-4 can follow complex instructions in natural language and solve difficult problems with accuracy.
GPT-4 is more creative and collaborative than ever before. It can generate, edit, and iterate with users on creative and technical writing tasks, such as composing songs, writing screenplays, or learning a user’s writing style.
GPT-4 can accept images as inputs and generate captions, classifications, and analyses.
GPT-4 is capable of handling over 25,000 words of text, allowing for use cases like long form content creation, extended conversations, and document search and analysis.
DALL·E is an AI system that can create realistic images and art from a description in natural language.
DALL·E 2 can create original, realistic images and art from a text description. It can combine concepts, attributes, and styles.
DALL·E 2 can expand images beyond what’s in the original canvas, creating expansive new compositions.
DALL·E 2 can make realistic edits to existing images from a natural language caption. It can add and remove elements while taking shadows, reflections, and textures into account.
DALL·E 2 can take an image and create different variations of it inspired by the original.
Whisper is a versatile speech recognition model that can transcribe, identify, and translate multiple languages.
Whisper can transcribe speech into text and translate many languages into English.
Made for developers
openai.Completion.create( model="text-davinci-003", prompt="Make a list of astronomical observatories:" )
ChatDevelopers can use GPT-3 to build interactive chatbots and virtual assistants that can carry out conversations in a natural and engaging manner.
EmbeddingsWith GPT-3, developers can generate embeddings that can be used for tasks like text classification, search, and clustering.
AnalysisDevelopers can use GPT-3 to summarize, synthesize, and answer questions about large amounts of text.
Fine-tuningDevelopers can fine-tune GPT-3 on a specific task or domain, by training it on custom data, to improve its performance.