Methodology

1. Understand how AI thinks and learns

Clearly show the information that AI tools have been trained and learned, and understand how the AI learns. This helps humans to align values during collaboration with AI, or to distinguish between human and AI values when commissioning and training AI.For example showing the connection between keywords and the database of images and presenting it visually.

I want to design a chair, how can you help me?

Stable Diffusion is an artificial intelligence for image generation, allow me to introduce myself. Here are my designed vision and rules in the early days. The training mechanism system for my model. The data I used during training.

Copyright (c) 2022 Robin Rombach and Patrick Esser and contributors https://huggingface.co/spaces/CompVis/stable-diffusion-license

Methodology

2. Accurately translate perceptions to AI

Enables humans to talk to the AI in an intuitive interactive way. Make it easier for humans to translate their thoughts into logic that the AI can understand through framing and classification options. For example when an image needs to be described in abstract terms, the AI needs to be made to understand the visual elements that need to be included in the image.

How does accurate communication and interaction make using AI less silly?

I want to change the color to bright yellow.

How do you define bright yellow?

Fuzzy Natural Language Interaction

Natural language combined with traditional interaction (NLP+GUI)

Color

Material Style Background

Semantic training

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