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- Fine tuning GPT3 for fiction
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- Generating fiction from a single story premise
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- GPT3 copying a style verbatim
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- Writing a novel: process, what works, and what doesn't
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- Creating a fan fiction generator
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- Generating fan fiction with a machine
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- Training a machine to write a story
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- Frankenstein and Alice in Wonderland Outlines
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- Generating a story outline with Auto Muse
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- The difference between working memory and recall
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- The need for a task set in GPT3
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- Generating a live summary of a story
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- Preprocessing text data for GPT3
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- Generating a novel with Auto Muse
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- Writing a novel one paragraph at a time
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- The increasing length of the story
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- The process of creating a machine that can summarize a novel
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- Building a story one chunk at a time
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- The length of each summary chunk
Description:
Explore the process of fine-tuning GPT-3 to write an entire coherent novel in this 41-minute video. Learn about generating fiction from a single story premise, copying writing styles, and creating fan fiction generators. Discover techniques for training AI to write stories, generate outlines, and summarize content in real-time. Delve into the intricacies of working memory, task sets, and preprocessing text data for GPT-3. Gain insights on writing novels paragraph by paragraph, managing increasing story lengths, and building narratives chunk by chunk. This comprehensive tutorial covers various aspects of AI-powered novel writing, providing valuable knowledge for those interested in leveraging machine learning for creative writing.

Fine-Tune GPT-3 to Write an Entire Coherent Novel - Part 1

David Shapiro ~ AI
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#Computer Science #Artificial Intelligence #Natural Language Processing (NLP) #LLM (Large Language Model) #GPT-3 #Humanities #Grammar & Writing #Creative Writing #ChatGPT #Machine Learning #Text Preprocessing
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- Fine tuning GPT3 for fiction