Applied ML - genai in domains

Architecture (buildings)

image generation

mid journey (best)

stable diffusion 

dall-e

controlnet

- https://github.com/lllyasviel/ControlNet

 - ControlNet is a neural network structure to control diffusion models by adding extra conditions.

3D modelling (structure)

rhino 3d modelling tool

https://www.rhino3d.com

grasshopper model scripting 

- part of rhino 3d

- scripting tool, DSL for Rhino3D

- scripts help enable genai

What is Grasshopper and Why Use it

- https://www.youtube.com/watch?v=AKpqK23Q5pM

what is lacking:

- AI models with physics 

- AI models with structural understanding

- AI architecture model that also uses or is integrated with AI material modelling

- an integrated genai workflow

- AI currently seems to fill in at a high-level (e.g. from a drawing with colored 'areas', but has poor quality on details. Also issues with counting (number of floors, windows...).

project - Deep Himmelb(l)au

- https://www.researchgate.net/figure/Deep-Himmelblau-by-Daniel-Bolojan-Bolojan-also-conducted-the-Gaudi-Hallucinations_fig2_350740286

Japanese phrases

Kaizen is a compound of two Japanese words that together translate as "good change" or "improvement." However, Kaizen has come to mean "continuous improvement" through its association with lean methodology and principles. Kaizen has its origins in post-World War II Japanese quality circles.

Nana korobi, ya oki" is a Japanese proverb that translates to "fall seven times, get up eight

Ichi-go ichi-e (Japanese: 一期一会, pronounced [it͡ɕi. ɡo it͡ɕi. e], lit. "one time, one meeting") is a Japanese four-character idiom (yojijukugo) that describes a cultural concept of treasuring the unrepeatable nature of a moment.

Data Science (and R - Statistical Programming)

by Roger D. Peng [John Hopkins University]

[R Programming]

[The Art of Data Science]

AI and Agents - Conferences and Organisations

Multi-Agent Organizations and Conferences

IFAAMAS = International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)

AAMAS 2025 Detroit = International Conference on Autonomous Agents and Multiagent Systems

Exploring Multi-Agent Frameworks, Books and Papers

In the rapidly evolving field of artificial intelligence (AI), open-source libraries and frameworks have emerged as valuable resources for developers and researchers. This blog post aims to provide an overview of some notable open-source AI agent libraries, their features, and potential use cases.

LLMs: Lessons Learned and Evaluation

 Applied LLMs: What we've learned from a year of building with LLMs
https://applied-llms.org/ 

Lessons Learned Building Products Powered by Generative AI

https://tech.buzzfeed.com/lessons-learned-building-products-powered-by-generative-ai-7f6c23bff376

EvalGen - Who validates the validators - https://arxiv.org/abs/2404.12272

Your AI Product Needs Evals

https://hamel.dev/blog/posts/evals/

LLM evaluation metrics

https://www.confident-ai.com/blog/llm-evaluation-metrics-everything-you-need-for-llm-evaluation

Asian classic texts

Journey to the West

 https://en.m.wikipedia.org/wiki/Journey_to_the_West