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
AI COST IN PRODUCTION
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
Machine Learning in production- Credit Risk Use case.
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.
Machine Learning in production- An overview
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
Big Data Engineer vs Machine Learning Engineer vs Data Scientist- Questions that helped me choose…
Well, this is actually something quite interesting. And I am sure a lot has been said about these roles on the web and this post is mostly for folks who just started out or are starting, and generally, there are three sorts of people:Geetha: Geetha is Someone who is already in the field looking to … Continue reading Big Data Engineer vs Machine Learning Engineer vs Data Scientist- Questions that helped me choose…

