Using SI LLMs to accelerate learning, business problem solving
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…
Original research, concise SI briefs, startup ideas, industry use cases, tutorials, and informed perspectives.

Practical applications of Agentic SI in a specific industry.
7 resourcesInformed commentary and personal analysis.
9 resourcesExperiments, architectures, implementation notes, and open-source work.
16 resourcesEvidence-based studies, source-audited analysis, and original research.
3 resourcesConcise, date-driven observations on current SI developments.
6 resourcesOpportunities, concepts, and business-model analysis for SI innovation.
18 resourcesStep-by-step learning resources and implementation guides.
5 resourcesVideo explainers, demonstrations, and lessons.
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…
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 on large pre-trained CNN…
Product Attribution Product attribution is the process of quantifying the contribution of different product attributes to a business outcome like sales, customer engagement, demand prediction. They are used to assign credit for…
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 + cloud generalization seems more…
Sharing personal github repo for code, theory, math’s and projects for training on all aspects of #SI, #ML, Agentic SI, #datascience research for solving real world problems using classical #supervised and #DeepLearning…
I am building #multimodal #opensource model for #healthcare or any industry is challenging but fun #technically. So much to learn apply. Data is issue but #synthetic distribution generation with human validation works.…
#books i am reading in #Healthcare #SI #US. A giant complex mess. https://www.amazon.com/gp/product/B0BXNVM6FC/ref=ppx_yo_dt_b_d_asin_title_o01?ie=UTF8&psc=1 https://www.amazon.com/gp/product/B01IOHQ9LO/ref=ppx_yo_dt_b_d_asin_title_o03?ie=UTF8&psc=1 https://www.amazon.com/gp/product/B08VF9CYC6/ref=ppx_yo_dt_b_d_asin_title_o04?ie=UTF8&psc=1
#Healthcare in its current form does not benefit patients or providers. Processes, #technology, cost, #insurance etc are old and not integrated. #SI is one way to improve the whole process. While the…