- A machine learning system for generating story ideas
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- The kovic family
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- A psychological thriller set in Scandinavia during the 1970s
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- Generating book summaries using a machine learning model
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- GPT3's ability to generate a synopsis for a book
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- The cost of fine-tuning a model
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- A dark and gritty alternate universe
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- A world of fantasy where people's deepest desires and Fantasies come true
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- Themes of universal truth and human nature in a story about a war
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- Delphine's Story
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- Writing a novel with Auto Muse
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- The difficulties of creating believable characters
Description:
Explore the innovative world of AI-powered storytelling in this 31-minute video tutorial. Learn how to generate synopses using GPT-3 and Generative Adversarial Networks (GANs), and discover techniques for grading and improving generated content. Delve into machine learning systems for story idea generation, book summary creation, and character development. Examine various narrative styles, from psychological thrillers to fantasy worlds, and understand the challenges of crafting believable characters. Gain insights into the cost of fine-tuning AI models and the potential of tools like Auto Muse for novel writing. Perfect for aspiring writers, AI enthusiasts, and anyone interested in the intersection of technology and creative writing.
AutoMuse- Synopsis GAN for Self-Improving Synopsis Generators