Agentic AI Automated Pull Request Code Refactoring against Guidelines
Giving a high level description, design, code and sample results for an Agentic AI solution that leverages current agentic frameworks,…
Read More📝
Category: Uncategorized
📝
Conversational Chatbot with Intent, Chat history context using LLM API
Simple code I wrote a while back to build a conversational chatbot using any LLM API which uses historic conversation…
Read More📝
Using AI 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…
Read More📝
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…
Read More📝
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) https://github.com/datawisdomx1/DataScience-AI-ML-Ops-Platforms-Tools
Read More📝
Comparing AWS, Azure, Google Cloud for AI/ML model training, MLOps, GPU access
I have been experimenting with the main #cloud providers – #AWS, #Azure, #Google for #AI #ML model training using #CPUs…
Read More📝
Generate Product Description SEO CTA Twitter Keywords from Images- GenAI Multimodal API (OpenAI gpt-4o)
Objective: Show a basic model to generate product description, SEO CTA and Twitter keywords from product images using a GenAI…
Read More📝
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…
Read More📝
AI 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…
Read More📝
Future Automation- GPT4o OpenAI LLMs Multimodal AI
Testing #GPT4o, good but mac app has inference latency issues. #multimodal is the future. #LLMs are commoditized. Fine tuned #industry…
Read More