Text, image, audio, video, and computer-vision systems.
Industry Transformation Research Playbook · 2026 Agentic AI: From Better Answers to Entirely New Industry Economics Why agents create value that dashboards, rules engines, RPA, predictive models, and…
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.…
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…
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…
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 +…
Sharing personal github repo for code, theory, math’s and projects for training on all aspects of #AI, #ML, Agentic AI, #datascience research for solving real world problems using…
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…
#OpenAI has just released #GPT-4, their latest model. Being multimodal it can process text and image. That makes things very interesting. Once you can process text/image (not sure…
I think there is scope for more AI/data analytics based healthtech startups that can provide better patient health lifecycle management for while reducing the pain points like In…
Using Tensorflow and keras for building CNN model with CIFAR-10 dataset for image classification Built different CNN models using different techniques and layersAchieved an accuracy of more than…
Computer Vision model for livestream frame people counter. Using OpenCV, YOLO5 from ultralytics, pytorch YOLO5 used the COCO image dataset for training its model Logic: The OpenCV library…
