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

Open-source Agentic AI, machine learning, multimodal, research, and implementation projects maintained through GitHub.
Expanded Edition · From Intellectual Foundations to the 2035 Questions Building the Intelligence Age: AI’s Seventy-Five-Year Journey and the Race to 2031 How seventy-five years of research became…
This post is to share my thoughts on Agentic AI transforming and disrupting most industries. There are lots of ideas that can be converted to startups, no shortage.…
Giving a high level description, design, code and sample results for an Agentic AI solution that leverages current agentic frameworks, LLMs, Prompt engineering, RAG and related algorithms to…
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…
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…
Combine RAG and Vector db (FAISS) with LLM model to extract relevant data from latest documents for a User Query – Process insurance claim https://github.com/datawisdomx1/RAGVectorDB_LLM_model
Databricks is a good tool for building, training and deploying models. Easy to learn and use (1-2 days) https://github.com/datawisdomx1/DataScience-AI-ML-Ops-Platforms-Tools
I have been experimenting with the main #cloud providers – #AWS, #Azure, #Google for #AI #ML model training using #CPUs and #GPUs. Must say Microsoft Azure and Google…
Objective: Show a basic model to generate product description, SEO CTA and Twitter keywords from product images using a GenAI multimodal API, OpenAI gpt-4o Model Overview: Improvements /…
Objective: Show a basic architecture and implementation of a CV (computer vision) CNN model to extract product attributes by using object detection, by training custom product image data…
Testing #GPT4o, good but mac app has inference latency issues. #multimodal is the future. #LLMs are commoditized. Fine tuned #industry specific models with #device level tuning inference +…