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