Bifocal Perspective of Compound AI Systems using Gemini 1.5 Pro 👓

I recently came across a research publication titled The Shift from Models to Compound AI Systems on the Berkeley Artificial Intelligence Research (BAIR) Lab's website. Being on a time crunch I wanted a quick gist of the blog post without...

Hyper-Personalized Ad Campaigns using Generative AI + Quick Demo using Google Gemini Pro Vision 🎯

In the vast and ever-evolving landscape of online advertising, campaigns come in various forms, each with its unique approach to capturing the attention and imagination of internet users. Here is a fascinating spectrum of ad campaigns, from general to personalized...

Exploring Deepfakes – Deploy Powerful AI Techniques for Face Replacement and More 🥸

Last year, I co-authored a book chapter titled Do Not ‘Fake It Till You Make It’! for Springer Nature Group's Deep Learning for Social Media Data Analytics book series 📕 The publication walks through a comparative study of Deep Learning models to approach the tasks of...

Top 5 trends in Artificial Intelligence for 2023 📈

In the last week of 2022, I was having a conversation with Irene Lyakovetsky from SaugaTalks about how incredible of a year it was with some really cool AI applications like Chat GPT, DALL E V2, PaLM, and so many more. As we discussed...

Differential Privacy for Privacy-Preserving Machine Learning 🔐

Tonight's explorations led me to the ✨gold✨ standard of mitigating the leakage of data in #ML -- #DifferentalPrivacy. The idea is to add very subtle statistical noise (in the dataset) to make it impossible to infer information about an individual...

Privacy-Preserving Machine Learning 🔐

Lately, I’ve been working on #PrivacyPreservingML 🔐 I got looped in some projects after Apple launched AppTrackingTransparency (ATT) framework, requiring iOS apps to ask permission to share users’ data w/ 3rd parties. This has triggered an industry-wide discussion on best...

Data Lakes for Big Data ⛵️

Volumes of crude data are available at our fingertips today, and the latest concept of a #DataLake helps store any type or volume of data as-is, process it in real-time or batch mode, and analyze it at scale 🤽🧵👇 https://twitter.com/DataForML/status/1486197404713951233?s=20...

Data Cascades in Machine Learning ⛲️

Machine Learning models are as good as the data they consume🍴Data impacts performance, fairness, robustness & scalability of #ML Systems. If not taken care of, it leads to a TON of tech debt over time in a corporate setting, downstream...

5 tips for polishing your Machine Learning dataset 🧼

I have been professionally working as a Machine Learning Engineer since more than 2 years now and also, recently co-authored a book titled “Sculpting Data for ML: The first act of Machine Learning”. My past few experience have taught me...