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…
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…
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…
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…
Predict 3 year Forward Asset Prices & Direction and Portfolio Return & Risk using Historic Macro data & Central Bank Forecasts This algorithm was published earlier. Sharing it again as it is…
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 85% between train and…
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 is used to get…
