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Introduction
Story Concept
Extended Synopsis
Claude
Step 1: Prompt Explanation
Using Step 1’s Prompt
Step 2: Prompt Explanation
Using Step 2’s Prompt
Step 3: Prompt Explanation
Using Step 3’s Prompt
Step 4: Prompt Explanation
Using Step 4’s Prompt
Step 5: Prompt Explanation
Using Step 5’s Prompt
Step 6: Prompt Explanation
Using Step 6’s Prompt
Closing
What Tone Is
Definition Tone
A Serious Tone and a Comedic Tone
Comedic Tone
Managing the Tone of a Serious Story
Shift between Tones
Identify the Most Important Scenes
Tip Number Four Is To Find Natural Ways To Transition from One Tone to another and Back Again
When in Doubt Stick to Your Main Tone
Question of the Day
How to fine tune on a custom dataset
What dataset should I use for fine-tuning?
Fine-tuning in Google Colab
Loading Llama 2 with bitsandbytes
Fine-tuning with LoRA
Target modules for fine-tuning
Loading data for fine-tuning
Training Llama 2 with a validation set
Setting training parameters for fine-tuning
Choosing batch size for training
Setting gradient accumulation for training
Using an eval dataset for training
Setting warm-up parameters for training
Using AdamW for optimisation
Fix for when commands don't work in Colab
Evaluating training loss
Running inference after training