Explore the process of using AutoMuse, a fine-tuned GPT-3 model, to write a coherent novel in this fourth installment of the series. Learn about the nuances between summary types, the benefits of gentle summaries, and the step-by-step process of generating a novel using recursive neural networks. Discover techniques for creating moderate summaries, generating file names for chunks, and updating summaries while checking for length. Delve into the challenges of containing superintelligence and witness the power of GPT-3 completion as Python writes a novel on the fly. Gain insights into the potential of AI-assisted creative writing and the future of automated novel generation.
Overview
Syllabus
- Writing a novel with AutoMuse
- The difference between a summary and a gentle summary
- The benefits of a gentle summary
- The process of creating a moderate summary
- Writing the novel
- Generating a story using a recursive neural network
- Writing a novel with Auto Muse
- Generating a summary with GPT3
- Generating a novel with Auto Muse
- Generating a novel with a machine
- Generating a novel with Auto Muse
- Generating a file name for the next chunk
- Updating the summary and checking for length
- Generating a novel one chunk at a time
- Writing a novel with a machine
- Trying to contain a superintelligence
- GPT3 Completion
- Writing the first chapter of a novel with AutoMuse
- Python writes a novel
- Generating novels on the fly
Taught by
David Shapiro ~ AI
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