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2. OpenAI launches free AI training course for teachers - AOL

   www.aol.com/news/openai-launches-free-ai...

   OpenAI and non-profit partner Common Sense Media have launched a free training course for teachers aimed at demystifying artificial intelligence and prompt engineering, the organizations said on ...

3. Captions (app) - Wikipedia

   en.wikipedia.org/wiki/Captions_(app)

   Captions is a video-editing and AI research company headquartered in New York City. Their flagship app, Captions , is available on iOS , Android , and Web and offers a suite of tools aimed at streamlining the creation and editing of videos.

4. Sora (text-to-video model) - Wikipedia

   en.wikipedia.org/wiki/Sora_(text-to-video_model)

   Re-captioning is used to augment training data, by using a video-to-text model to create detailed captions on videos. [7] OpenAI trained the model using publicly available videos as well as copyrighted videos licensed for the purpose, but did not reveal the number or the exact source of the videos. [5]

5. Contrastive Language-Image Pre-training - Wikipedia

   en.wikipedia.org/wiki/Contrastive_Language-Image...

   The CLIP models released by OpenAI were trained on a dataset called "WebImageText" (WIT) containing 400 million pairs of images and their corresponding captions scraped from the internet. The total number of words in this dataset is similar in scale to the WebText dataset used for training GPT-2, which contains about 40 gigabytes of text data. [1]

6. Warner Bros. Discovery’s Max Using Google Gen AI ... - AOL

   www.aol.com/warner-bros-discovery-max-using...

   According to Warner Bros. Discovery, the “Caption AI” workflow reduces caption file creation time up to 80% compared with manual captioning and cuts captioning costs by up to 50%.

7. Multimodal learning - Wikipedia

   en.wikipedia.org/wiki/Multimodal_learning

   Multimodal learning is a type of deep learning that integrates and processes multiple types of data, referred to as modalities, such as text, audio, images, or video.This integration allows for a more holistic understanding of complex data, improving model performance in tasks like visual question answering, cross-modal retrieval, [1] text-to-image generation, [2] aesthetic ranking, [3] and ...