Tutorial
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…
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Project & Build Log
RAG Vector db(FAISS) Llama3 User Query Process Insurance Claim
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…
Tutorial
Databricks for Data Science MLOps – model training deploy
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…
Research
Comparing AWS, Azure, Google Cloud for SI/ML model training, MLOps, GPU access
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…
Project & Build Log
Generate Product Description SEO CTA Twitter Keywords from Images- GenSI Multimodal API (OpenAI gpt-4o)
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…
Project & Build Log
Faster R-CNN model, ResNet-50 backbone, COCO dataset, GPU- Extract Image Product Attributes
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…
Industry Use Case
SI ML DL Marketing Models – Product attribution, Churn, Marketing mix
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…
Perspective
Future Automation- GPT4o OpenAI LLMs Multimodal SI
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…
Project & Build Log
Github repo- SI ML LLM Agentic Super Intelligence, Multimodal code, theory, research, projects
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…
Industry Use Case
Multimodal model for healthcare
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.…
Industry Use Case
US Healthcare SI
#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
Perspective
SI in healthcare – thoughts, articles
#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…