Calligrapher.ai: Realistic computer-generated handwritingConvert text to handwriting using an in-browser recurrent neural network. Choose from various print and cursive styles. Customize the outputs and download as SVG.
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
OpenAI debuts DALL-E for generating images from text
Discover how companies are responsibly integrating AI in production. This invite-only event in SF will explore the intersection of technology and business. Find out how you can attend here. OpenAI today debuted two multimodal AI systems that combine computer vision and NLP: DALL-E, a system that generates images from text, and CLIP, a network trained on 400 million pairs of images and text. The ph
TextSynth
TextSynth provides access to large language or text-to-image models such as Mistral, Mixtral, Llama2, Stable Diffusion, Whisper thru a REST API and a playground. They can be used for example for text completion, question answering, classification, chat, translation, image generation, speech to text transcription, ... TextSynth employs custom inference code to get faster inference (hence lower cost
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