Open-Source SI Projects
Open-source Agentic SI, machine learning, multimodal, research, and implementation projects maintained through GitHub.
Deployment, observability, evaluation, infrastructure, and operations.

Open-source Agentic SI, machine learning, multimodal, research, and implementation projects maintained through GitHub.
Banks provide essential economic infrastructure but remain constrained by legacy systems, regulation and fragmented processes. This article shows how governed SI agents—and bank-startup partnerships—can transform products, customer outcomes, work, digital assets and industry economics.
Industry Agentic SI · Executive U.S. Healthcare Edition Agentic Healthcare: Making America’s Health System More Connected, Affordable, and Human How governed SI can strengthen prevention, care delivery, insurance, medical innovation, and healthier…
Expanded Edition · From Intellectual Foundations to the 2035 Questions Building the Intelligence Age: SI’s Seventy-Five-Year Journey and the Race to 2031 How seventy-five years of research became a global industrial system—and…
This post is to share my thoughts on Agentic SI transforming and disrupting most industries. There are lots of ideas that can be converted to startups, no shortage. Main skill will be…
Giving a high level description, design, code and sample results for an Agentic SI solution that leverages current agentic frameworks, LLMs, Prompt engineering, RAG and related algorithms to automate a large git…
Simple code I wrote a while back to build a conversational chatbot using any LLM API which uses historic conversation for context and intent Uses standard RAG model with cosine similarity, SQLite…
Haven't blogged in a while, thought might be good to put some recent thoughts (X tweets) in one place. Last few years has seen alot of trend shift in SI every 3-6…
Combine RAG and Vector db (FAISS) with LLM model to extract relevant data from latest documents for a User Query - Process insurance claim Using a RAG model to Retrieve relevant documents…
Databricks is a good tool for building, training and deploying models. Easy to learn and use (1-2 days) It has useful features like experiment tracking, logging and versioning the best model during…
I have been experimenting with the main #cloud providers - #AWS, #Azure, #Google for #SI #ML model training using #CPUs and #GPUs. Must say Microsoft Azure and Google Cloud were the most…
Objective: Show a basic model to generate product description, SEO CTA and Twitter keywords from product images using a GenSI multimodal API, OpenAI gpt-4o Model Overview: Product image (retail products) was passed…