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Record audio, screen, and webcam securely, using Windows and Mac devices. Enjoy unlimited retakes, improve sound and video quality with AI tools, and export audio and video in HD quality. Improve video accessibility by generating accurate AI captions in over 80 global languages. CLIP (Contrastive Language-Image Pre-Training) is a neural network trained on a variety of (image, text) pairs. It can be instructed in natural language to predict the most relevant text snippet, given an image, without directly optimizing for the task, similarly to the zero-shot capabilities of GPT-2 and 3. Jan 5, 2021 · CLIP (Contrastive Language–Image Pre-training) builds on a large body of work on zero-shot transfer, natural language supervision, and multimodal learning. CLIP can perform zero-shot image classification tasks. This is achieved by prompting the text encoder with class names and selecting the class whose embedding is closest to the image embedding. 1. Any of various devices for gripping or holding things together; a clasp or fastener. 2. A piece of jewelry that fastens with a clasp or clip, such as an earring or a brooch. 3. A cartridge clip. Jul 23, 2025 · CLIP or Contrastive Language-Image Pretraining is an advanced AI model developed by OpenAI and UC Berkeley. It has the unique ability to understand and relate both textual descriptions and images. Clip definition: to cut, or cut off or out, as with shears.. See examples of CLIP used in a sentence. Sep 1, 2024 · CLIP is an open source, multimodal computer vision model developed by OpenAI. Learn what makes CLIP so cool. See CLIP use cases and advantages. CLIP is a bridge between computer vision and natural language processing. I’m here to break CLIP down for you in an accessible and fun read! In this post, I’ll cover what CLIP is, how CLIP works, and why CLIP is cool. Clips is a free app for making fun videos to share with friends and family. With a few taps you can create vertical and horizontal videos with immersive

camera effects, artistic filters, dynamic music, animated text, emoji, stickers, and more.