OnCompose Integrations

OpenAI's mission, which is to ensure artificial general intelligence (AGI), benefits all people. This refers to highly autonomous systems that outperform humans in most economically valuable work. While we will try to build safe and useful AGI, we will also consider our mission accomplished if others are able to do the same. Our API can be used to perform any language task, including summarization, sentiment analysis and content generation. You can specify your task in English or use a few examples. Our constantly improving AI technology is available to you with a simple integration. These sample completions will show you how to integrate with the API.

DALL*E 3 is a system that understands nuance and details better than previous systems. This allows you to translate your ideas easily into images with exceptional accuracy. Modern text-to image systems tend to ignore words and descriptions, forcing the user to learn prompt engineering. DALL*E 3 is a significant leap forward in terms of our ability to produce images that adhere exactly to the text provided. DALL*E 3 is a significant improvement over DALL*E 2, even with the same prompt. DALL*E 3 was built on ChatGPT. This allows you to use ChatGPT both as a brainstorming tool and to refine your prompts. Ask ChatGPT to show you anything from a simple phrase to a detailed sentence. ChatGPT will generate detailed, tailored prompts for DALL*E 3, based on your idea. ChatGPT can be asked to tweak an image if you don't like it.

GPT-4 (Generative Pretrained Transformer 4) a large-scale, unsupervised language model that is yet to be released. GPT-4, which is the successor of GPT-3, is part of the GPT -n series of natural-language processing models. It was trained using a dataset of 45TB text to produce text generation and understanding abilities that are human-like. GPT-4 is not dependent on additional training data, unlike other NLP models. It can generate text and answer questions using its own context. GPT-4 has been demonstrated to be capable of performing a wide range of tasks without any task-specific training data, such as translation, summarization and sentiment analysis.