One Stop for info on Production Grade AI/ML Systems
In the world of LLM's, rag has gained quite a bit of traction due to the fact that it helps reduce hallucination by giving access to LLM's to external sources and grounding the results. In simple words, RAG is basically proving an external data source for Generative AI models to get better context on user … Continue reading Experimenting With Multi Model Rag and Google Gemini
Over the last few years having worked on the production side of AI I have had the experience working with a few AI/ML initiatives. Some have made it to production and a lot have not made it to production. Failures happen at multiple stages :- Inception stage: idea proposed from products team and dropped for … Continue reading AI Use Case Template – 30,000 ft
Why to Monitor? What is the goal of an ML system for a business use case? Do you think it is below? i.e Designing an ML system which has the best model accuracy Not exactly. The goal looks more like below True ROI from an ML system is only achieved by monitoring the system in … Continue reading ML Monitoring In Production- Why and What(30,000 ft)
Have you ever pictured AI in production to be like this below? AI system is not just ml code but a lot of other components. And the decision to either productionize of not productionize a system depends on a lot of factors outside model accuracy.Cost to build and maintain the entire system in production is … Continue reading AI COST IN PRODUCTION
Context:So for those who have just bumped into this article, to give a little context to what we did in a previous article(ML problems in production). We looked at how ML is in production, problems with ML in production, and the engineering components on machine learning. And finally how we can build our car- AI … Continue reading Machine Learning in production- Credit Risk Use case.
AI For Production 