Explore character and scene simulation techniques in this comprehensive video tutorial on fine-tuning GPT-3 for creative writing. Learn how to generate synthetic data, create compelling characters with depth and interiority, and develop engaging scenes. Discover the process of translating scenes into character thoughts and emotions, identify key traits of well-developed characters, and understand the loop of character simulation. Delve into the potential of using AI as a writer's tool for simulating people and generating novel-length content. Gain insights into synthetic data generation for training machine learning models and explore philosophical discussions on consciousness and AI in relation to character creation.
AutoMuse: Working on Character and Scene Simulations - GPT-3 Finetuning Project
David Shapiro ~ AI via YouTube
Overview
Syllabus
- Fine tuning Auto Muse 3
- Generating synthetic data
- Generating the next scene
- Generating a new scene
- Character simulation and interiority
- Translating a scene into interiority
- The features of a good character
- Character traits
- Character simulation and interiority
- Generating a novel with Auto Muse
- Generating synthetic data for a machine learning model
- Generating a first-person scene
- Synthetic data generation for training machine learning models
- The loop of character simulation
- The writer's tool: a machine for simulating people
- The nature of consciousness and AI
- Generating data for character and scene simulation
Taught by
David Shapiro ~ AI
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