ChatGPTWe’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer follow-up questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.
GPT models are capable of natural language processing tasks such as text generation, summarization, and analysis.
GPT-3 can generate high-quality text for copywriting tasks, including product descriptions, marketing materials, and headlines.
GPT-3 can summarize long texts by extracting the most important information, presenting it in a clear and concise manner.
GPT-3 can parse text by analyzing and extracting specific information or patterns from large amounts of unstructured text data.
GPT-3 can be used for classification tasks by analyzing text and accurately assigning it to categories, such as sentiment analysis, spam detection, or topic classification.
GPT-3 can translate text between languages, making content accessible to and from a global audience.
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
import openai openai.Completion.create( engine="davinci", 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.
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