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  2. Video resume - Wikipedia

    en.wikipedia.org/wiki/Video_resume

    Video resumes, sometimes called Visumé [1] or Video CV, were first introduced in the 1980s for use and distribution via VHS tape, but the idea never took off beyond the video taping of interviews. However, with the modern capabilities of transmitting streaming video via the internet, video resumes have taken on new popularity. [ 2 ]

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

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

    A video generated by Sora of someone lying in a bed with a cat on it, containing several mistakes The technology behind Sora is an adaptation of the technology behind DALL-E 3 . According to OpenAI, Sora is a diffusion transformer [ 10 ] – a denoising latent diffusion model with one Transformer as the denoiser.

  4. OpenAI releases AI video generator Sora to all customers - AOL

    www.aol.com/openai-releases-ai-video-generator...

    Artificial intelligence company OpenAI released the video generation program Sora for use by its customers Monday. The program ingests written prompts and creates digital videos of up to 20 seconds.

  5. Résumé - Wikipedia

    en.wikipedia.org/wiki/Résumé

    In 2001 LinkedIn was launched, which allowed users to post their resumes and skills online. [9] Since, many SaaS companies began providing job seekers with free online résumé builders; usually templates to insert credentials and experience and create a résumé to download or an online portfolio link to share via social media.

  6. AOL Mail

    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  7. Text-to-video model - Wikipedia

    en.wikipedia.org/wiki/Text-to-video_model

    There are several architectures that have been used to create Text-to-Video models. Similar to Text-to-Image models, these models can be trained using Recurrent Neural Networks (RNNs) such as long short-term memory (LSTM) networks, which has been used for Pixel Transformation Models and Stochastic Video Generation Models, which aid in consistency and realism respectively. [31]

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