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Understanding Production RAG Systems (Retrieval Augmented Generation)
1. What is RAG ? Retrieval Augmented Generation (RAG), is a method where you have a foundation model, and you have a library of personal documents – this can be unstructured data in any format. Now your goal is for answering some questions from your persona library of docs, with the help of LLM. Enter…
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Product Bulb Podcast : Ep. 02
Navigating your Data Science Career – From IC to Leader The role of a data scientist has evolved into a complex potpourri of statistics, ML/AI, software engineering, data engineering, applied product development, product evangelization and sales, and so on. Consequently the role of AI leaders and managers requires a great nuance and balance in terms…
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Guide to Generative AI Metrics and KPIs for AI Product Managers
Metrics and KPIs are fundamental parts of any product strategy. They require a whole another level of insight and granularity when it comes to the ever changing and growing world of applied Generative AI applications. Understanding Gen AI metrics and KPIs is crucial for AI product managers for several reasons: Let’s break down these metrics…
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LUMOS – Generative AI Product Pre-Checklist
If you are an AI/ML Product Manager and are looking to build a Generative AI Product / Feature, here’s a useful framework that’ll essentially work as a Pre-Checklist before even building a Product Strategy. I’m calling it the LUMOS Framework (I hear all the Potter heads’ applause in the back of my mind!). LUMOS FRAMEWORK…
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Generative AI Product Strategy Framework
If you are an AI/ML Product Manager and are looking for a boilerplate framework to get your Generative AI Product Strategy started, here’s a downloadable Product Strategy sheet, designed specifically with keeping in mind, the unique challenges while using the Gen AI technology. The steps include:
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AI product Leadership Series – Part 3: Building Great Products by Balancing Product and Engineering Mindsets
I wrote about why we need AI Product Management when building complex data products in a previous post in the Data Science Leadership Series, and I feel this has to be followed by a very important topic that almost every single software development team faces, especially in high growth startups where the speed of innovation and the…
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AI product Leadership Series – Part 2 : How to choose data projects: Core Product Vs Support Consulting Vs Research | Beware of your bottomline
The biggest challenge for data scientists / managers in decision making capacity and one with the biggest consequential outcome for both the business and the data team, I feel, is the part where you say yes / no / let’s modify – to a new data project idea from leadership, or even starting a new…
Product Bulb 