Ideas for using Generative AI along with causal inference for website design

• Use free generative models - natural language processing (NLP) or image-based - to create images and text for a website

• Automate the task of image and text generation by using generative AI agents via langchain

• Look at causal inference for the behavior of clients to different websites

• Integrate sentiment and emotional analysis into the causal inference

Free generative LLM models

• OpenLLaMA ~ https://github.com/openlm-research/open_llama
• Stanford Alpaca ~ https://github.com/tatsu-lab/stanford_alpaca
• Baize V2 ~ https://github.com/project-baize/baize-chatbot
• CalderaAI ~ https://huggingface.co/CalderaAI
• Lit-LLaMA ️~ https://github.com/Lightning-AI/lit-llama

Free stable diffusion models

• Dreamlike Photoreal 2.0 ~ https://huggingface.co/dreamlike-art
• Stable-Diffusion-v1-5 ~ https://huggingface.co/spaces/runwayml/stable-diffusion-v1-5

One will need to find the suitable stable diffusion model that suits the needs of the client and the designer. What this amounts to is taking a stable diffusion model then fine tuning it with images from the designer. There is a substantial amount of models on HuggingFace that are free, many of which are fine-tuned already. In a similar vein, we would use a freely available LLM and fine-tune it or use a finetuned model for text on a website.

Using an LLM to generate the code for the website

We can use a freely available LLM for code generation for the website. Two possibilites are:

• BigCode ~ https://www.bigcode-project.org/
• StarCoder ~ https://huggingface.co/bigcode/starcoder

Causal ML

The issue is that designer wants to acquire a client by showing them initial designs of the website.