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2. Don’t let AI ruin your résumé [Video] - AOL

   www.aol.com/finance/don-t-let-ai-ruin-164544672.html

   AI isn’t better at being you than you are Augustine also warned that AI can prevent a job seeker’s true voice from coming through in their résumé and put them at risk of sounding inauthentic.

3. 7 Ways AI Can Create or Tweak Your Resume Before Your Next ...

   www.aol.com/7-ways-ai-create-tweak-135700156.html

   2. Align the resume with job market trends. A good resume should align with changing market trends. ChatGPT can help you find information about the latest trends for your industry or role.

4. I’m a Career Expert: Here’s Why You Should Put AI on Your Resume

   www.aol.com/m-career-expert-why-put-160017502.html

   Here are four big reasons to put AI on your resume: You’ll be more competitive in the job market ... “Beyond just ChatGPT, there are a variety of AI-based tools out there for video ...

5. 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.

6. Suno AI - Wikipedia

   en.wikipedia.org/wiki/Suno_AI

   Suno AI, or simply Suno, is a generative artificial intelligence music creation program designed to generate realistic songs that combine vocals and instrumentation, [1] or are purely instrumental. Suno has been widely available since December 20, 2023, after the launch of a web application and a partnership with Microsoft , which included Suno ...

7. Deep learning speech synthesis - Wikipedia

   en.wikipedia.org/wiki/Deep_learning_speech_synthesis

   A stack of dilated casual convolutional layers used in WaveNet [1]. In September 2016, DeepMind proposed WaveNet, a deep generative model of raw audio waveforms, demonstrating that deep learning-based models are capable of modeling raw waveforms and generating speech from acoustic features like spectrograms or mel-spectrograms.