One Stop for info on Production Grade AI/ML Systems
For anyone in the field of AI and ML, they probably do know all of these terms. But how do you explain these to someone new. Let's try understanding this. USE CASE: Mark wants to plan a trip to Georgia in Europe and he wants to use an LLM for this. INTERACTION WITH LLM: Attempt … Continue reading Understanding RAG and Vector DB
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)
AI and ML have evolved from complex mysteries few years back to everyday tools, driven by models like ChatGPT and Bard. ChatGPT and Bard made AI easier, but most are still basic because turning them profitable needs rare know-how mostly in big companies. It's not just about Language Models; AI's larger development faces this. Many … Continue reading Understanding AI/ML Systems In Production
So this article started with a Google search a while back about ML and it was the percentage of ML models that made it to productionThis actually got me interested. I mean, I do this exact thing for work. I work as a software developer in the data science team of an Ecomerce company.So this … Continue reading Machine Learning in production- An overview
AI For Production 